Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
2635
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 07:20 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 | Ultimative Leistung |
| 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% |
1339
250.6 IPS |
|
|
Image Classification (F16)
|
100% |
1397
261.3 IPS |
|
|
Image Classification (I8)
|
99% |
2759
516.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1186
19.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1217
20.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1847
30.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4316
5.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
4270
5.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
14573
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1329
99.2 IPS |
|
|
Object Detection (F16)
|
100% |
1409
105.2 IPS |
|
|
Object Detection (I8)
|
62% |
1360
101.5 IPS |
|
|
Face Detection (F32)
|
100% |
2586
30.7 IPS |
|
|
Face Detection (F16)
|
100% |
2505
29.8 IPS |
|
|
Face Detection (I8)
|
89% |
3555
42.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4878
37.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
4874
37.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
10337
80.2 IPS |
|
|
Style Transfer (F32)
|
100% |
10083
13.3 IPS |
|
|
Style Transfer (F16)
|
100% |
9806
12.9 IPS |
|
|
Style Transfer (I8)
|
98% |
15691
20.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2199
78.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2093
74.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3625
129.5 IPS |
|
|
Text Classification (F32)
|
100% |
1224
1.76 KIPS |
|
|
Text Classification (F16)
|
100% |
1232
1.77 KIPS |
|
|
Text Classification (I8)
|
98% |
381
548.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1588
29.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1583
29.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2125
39.1 IPS |
