Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
2495
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 05 2024 03:04 PM |
| Views | 2 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1225
229.1 IPS |
|
|
Image Classification (F16)
|
100% |
1238
231.7 IPS |
|
|
Image Classification (I8)
|
99% |
2846
532.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
974
16.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
991
16.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2197
36.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
3341
4.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
3770
4.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
13562
16.4 IPS |
|
|
Object Detection (F32)
|
100% |
1307
97.6 IPS |
|
|
Object Detection (F16)
|
100% |
1308
97.6 IPS |
|
|
Object Detection (I8)
|
62% |
1386
103.5 IPS |
|
|
Face Detection (F32)
|
100% |
2185
26.0 IPS |
|
|
Face Detection (F16)
|
100% |
2112
25.1 IPS |
|
|
Face Detection (I8)
|
89% |
3381
40.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4639
36.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
3648
28.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
10405
80.7 IPS |
|
|
Style Transfer (F32)
|
100% |
8249
10.9 IPS |
|
|
Style Transfer (F16)
|
100% |
8812
11.6 IPS |
|
|
Style Transfer (I8)
|
98% |
15330
20.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2022
72.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1755
62.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3407
121.7 IPS |
|
|
Text Classification (F32)
|
100% |
1305
1.88 KIPS |
|
|
Text Classification (F16)
|
100% |
1288
1.85 KIPS |
|
|
Text Classification (I8)
|
98% |
958
1.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
1382
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1356
25.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1991
36.6 IPS |
