Micro-Star International Co., Ltd. GE76 Raider 11UH
Geekbench ML Score
13440
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 12:24 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. GE76 Raider 11UH |
| Motherboard | Micro-Star International Co., Ltd. MS-17K3 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 8 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6614
1.24 KIPS |
|
|
Image Classification (F16)
|
100% |
6610
1.24 KIPS |
|
|
Image Classification (I8)
|
100% |
4612
863.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
9379
156.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
9705
162.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
7248
121.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
93390
113.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
101544
123.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
79538
96.3 IPS |
|
|
Object Detection (F32)
|
100% |
4995
372.9 IPS |
|
|
Object Detection (F16)
|
100% |
4597
343.2 IPS |
|
|
Object Detection (I8)
|
63% |
4066
303.5 IPS |
|
|
Face Detection (F32)
|
100% |
18014
214.2 IPS |
|
|
Face Detection (F16)
|
100% |
18983
225.7 IPS |
|
|
Face Detection (I8)
|
89% |
13931
165.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
39575
306.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
41351
320.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
26483
205.4 IPS |
|
|
Style Transfer (F32)
|
100% |
168444
221.6 IPS |
|
|
Style Transfer (F16)
|
100% |
153365
201.7 IPS |
|
|
Style Transfer (I8)
|
98% |
121061
159.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
29727
1.06 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27245
973.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16713
596.9 IPS |
|
|
Text Classification (F32)
|
100% |
2288
3.29 KIPS |
|
|
Text Classification (F16)
|
100% |
2284
3.28 KIPS |
|
|
Text Classification (I8)
|
98% |
1142
1.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
3200
58.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3216
59.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1415
26.0 IPS |
