Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
3207
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | July 10 2024 08:06 PM |
| Views | 3 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1873
350.5 IPS |
|
|
Image Classification (F16)
|
100% |
1808
338.4 IPS |
|
|
Image Classification (I8)
|
99% |
3643
681.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1410
23.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1409
23.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2175
36.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5277
6.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
5336
6.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
15689
19.0 IPS |
|
|
Object Detection (F32)
|
100% |
1810
135.1 IPS |
|
|
Object Detection (F16)
|
100% |
1694
126.5 IPS |
|
|
Object Detection (I8)
|
62% |
1794
133.9 IPS |
|
|
Face Detection (F32)
|
100% |
2644
31.4 IPS |
|
|
Face Detection (F16)
|
100% |
2745
32.6 IPS |
|
|
Face Detection (I8)
|
89% |
3938
46.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6379
49.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6419
49.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
14172
109.9 IPS |
|
|
Style Transfer (F32)
|
100% |
13090
17.2 IPS |
|
|
Style Transfer (F16)
|
100% |
12151
16.0 IPS |
|
|
Style Transfer (I8)
|
98% |
18179
23.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2927
104.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2634
94.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4407
157.4 IPS |
|
|
Text Classification (F32)
|
100% |
1369
1.97 KIPS |
|
|
Text Classification (F16)
|
100% |
1592
2.29 KIPS |
|
|
Text Classification (I8)
|
98% |
441
633.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1861
34.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1756
32.3 IPS |
|
|
Machine Translation (I8)
|
67% |
2301
42.4 IPS |
