Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
2759
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 26 2024 05:50 PM |
| Views | 4 |
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% |
1495
279.8 IPS |
|
|
Image Classification (F16)
|
100% |
1497
280.2 IPS |
|
|
Image Classification (I8)
|
99% |
3366
629.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1323
22.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1333
22.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1942
32.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4104
4.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
4390
5.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
16031
19.4 IPS |
|
|
Object Detection (F32)
|
100% |
1427
106.6 IPS |
|
|
Object Detection (F16)
|
100% |
1380
103.0 IPS |
|
|
Object Detection (I8)
|
62% |
1503
112.2 IPS |
|
|
Face Detection (F32)
|
100% |
2443
29.1 IPS |
|
|
Face Detection (F16)
|
100% |
2509
29.8 IPS |
|
|
Face Detection (I8)
|
89% |
3290
39.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4915
38.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5463
42.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
11145
86.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9974
13.1 IPS |
|
|
Style Transfer (F16)
|
100% |
9263
12.2 IPS |
|
|
Style Transfer (I8)
|
98% |
15498
20.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2342
83.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2194
78.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3765
134.5 IPS |
|
|
Text Classification (F32)
|
100% |
1506
2.16 KIPS |
|
|
Text Classification (F16)
|
100% |
1556
2.24 KIPS |
|
|
Text Classification (I8)
|
98% |
398
571.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1580
29.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1544
28.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2003
36.9 IPS |
