Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
7130
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 04:34 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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 3050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3616
676.7 IPS |
|
|
Image Classification (F16)
|
100% |
3588
671.3 IPS |
|
|
Image Classification (I8)
|
100% |
2857
534.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
4698
78.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
4640
77.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3987
66.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
33339
40.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
35026
42.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
30551
37.0 IPS |
|
|
Object Detection (F32)
|
100% |
3131
233.8 IPS |
|
|
Object Detection (F16)
|
100% |
3153
235.4 IPS |
|
|
Object Detection (I8)
|
61% |
2581
192.7 IPS |
|
|
Face Detection (F32)
|
100% |
8908
105.9 IPS |
|
|
Face Detection (F16)
|
100% |
8703
103.5 IPS |
|
|
Face Detection (I8)
|
89% |
6881
81.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
19899
154.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
19920
154.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
15123
117.3 IPS |
|
|
Style Transfer (F32)
|
100% |
66404
87.3 IPS |
|
|
Style Transfer (F16)
|
100% |
65284
85.9 IPS |
|
|
Style Transfer (I8)
|
98% |
54144
71.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13261
473.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11413
407.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7429
265.3 IPS |
|
|
Text Classification (F32)
|
100% |
1502
2.16 KIPS |
|
|
Text Classification (F16)
|
100% |
1533
2.20 KIPS |
|
|
Text Classification (I8)
|
98% |
1014
1.46 KIPS |
|
|
Machine Translation (F32)
|
100% |
2309
42.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2334
42.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1262
23.2 IPS |
