Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1244
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | May 01 2024 09:29 AM |
| Views | 3 |
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 | DirectML |
| Device | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
582
108.9 IPS |
|
|
Image Classification (F16)
|
100% |
575
107.5 IPS |
|
|
Image Classification (I8)
|
100% |
484
90.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
871
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
875
14.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
673
11.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
4278
5.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
4253
5.15 IPS |
|
|
Pose Estimation (I8)
|
100% |
2978
3.61 IPS |
|
|
Object Detection (F32)
|
100% |
682
50.9 IPS |
|
|
Object Detection (F16)
|
100% |
680
50.8 IPS |
|
|
Object Detection (I8)
|
54% |
566
42.2 IPS |
|
|
Face Detection (F32)
|
100% |
1253
14.9 IPS |
|
|
Face Detection (F16)
|
100% |
1245
14.8 IPS |
|
|
Face Detection (I8)
|
89% |
902
10.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
2581
20.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
2599
20.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
2002
15.5 IPS |
|
|
Style Transfer (F32)
|
100% |
9019
11.9 IPS |
|
|
Style Transfer (F16)
|
100% |
8936
11.8 IPS |
|
|
Style Transfer (I8)
|
98% |
6936
9.12 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1535
54.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1545
55.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
853
30.5 IPS |
|
|
Text Classification (F32)
|
100% |
706
1.01 KIPS |
|
|
Text Classification (F16)
|
100% |
705
1.01 KIPS |
|
|
Text Classification (I8)
|
98% |
369
529.7 IPS |
|
|
Machine Translation (F32)
|
100% |
644
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
644
11.9 IPS |
|
|
Machine Translation (I8)
|
70% |
372
6.84 IPS |
