Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
2565
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 02 2024 10:12 PM |
| Views | 4 |
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 | Ausbalanciert |
| 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% |
1371
256.6 IPS |
|
|
Image Classification (F16)
|
100% |
1179
220.6 IPS |
|
|
Image Classification (I8)
|
99% |
3218
602.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1176
19.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1177
19.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1695
28.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
4095
4.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
3832
4.64 IPS |
|
|
Pose Estimation (I8)
|
100% |
15743
19.1 IPS |
|
|
Object Detection (F32)
|
100% |
1330
99.3 IPS |
|
|
Object Detection (F16)
|
100% |
1258
93.9 IPS |
|
|
Object Detection (I8)
|
62% |
1326
99.0 IPS |
|
|
Face Detection (F32)
|
100% |
2477
29.5 IPS |
|
|
Face Detection (F16)
|
100% |
2434
28.9 IPS |
|
|
Face Detection (I8)
|
89% |
3222
38.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4508
35.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
4981
38.6 IPS |
|
|
Depth Estimation (I8)
|
96% |
11404
88.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9247
12.2 IPS |
|
|
Style Transfer (F16)
|
100% |
8421
11.1 IPS |
|
|
Style Transfer (I8)
|
98% |
14648
19.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2092
74.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2042
72.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3746
133.8 IPS |
|
|
Text Classification (F32)
|
100% |
1497
2.15 KIPS |
|
|
Text Classification (F16)
|
100% |
1514
2.18 KIPS |
|
|
Text Classification (I8)
|
98% |
328
471.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1482
27.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1468
27.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1929
35.5 IPS |
