Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
7132
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | May 01 2024 09:34 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana GF76 11UC |
| Motherboard | Micro-Star International Co., Ltd. MS-17L2 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3657
684.3 IPS |
|
|
Image Classification (F16)
|
100% |
3586
671.1 IPS |
|
|
Image Classification (I8)
|
100% |
2845
532.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
5038
84.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
5013
83.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
4215
70.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
33641
40.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
30967
37.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
27750
33.6 IPS |
|
|
Object Detection (F32)
|
100% |
3116
232.6 IPS |
|
|
Object Detection (F16)
|
100% |
3123
233.1 IPS |
|
|
Object Detection (I8)
|
61% |
2715
202.7 IPS |
|
|
Face Detection (F32)
|
100% |
8915
106.0 IPS |
|
|
Face Detection (F16)
|
100% |
8800
104.6 IPS |
|
|
Face Detection (I8)
|
89% |
6940
82.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
17929
139.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
18847
146.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
14587
113.1 IPS |
|
|
Style Transfer (F32)
|
100% |
64639
85.0 IPS |
|
|
Style Transfer (F16)
|
100% |
56244
74.0 IPS |
|
|
Style Transfer (I8)
|
98% |
49807
65.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12201
435.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11472
409.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7292
260.4 IPS |
|
|
Text Classification (F32)
|
100% |
1612
2.32 KIPS |
|
|
Text Classification (F16)
|
100% |
1911
2.75 KIPS |
|
|
Text Classification (I8)
|
98% |
1039
1.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
2559
47.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2551
46.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1256
23.1 IPS |
