Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1504
Single Precision Score
1560
Half Precision Score
990
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | September 21 2024 02:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
565
105.1 IPS |
|
|
Image Classification (HP)
|
100% |
605
112.6 IPS |
|
|
Image Classification (Q)
|
99% |
478
89.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
880
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1016
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
692
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4236
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4841
5.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
3116
3.65 IPS |
|
|
Object Detection (SP)
|
100% |
689
54.6 IPS |
|
|
Object Detection (HP)
|
98% |
600
47.8 IPS |
|
|
Object Detection (Q)
|
89% |
550
44.0 IPS |
|
|
Face Detection (SP)
|
100% |
1322
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
1426
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
926
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2679
20.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2934
22.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
1980
15.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9643
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12881
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
7443
9.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2332
86.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
866
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
779
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
430
573.8 IPS |
|
|
Text Classification (Q)
|
97% |
384
514.2 IPS |
|
|
Machine Translation (SP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
888
15.3 IPS |
|
|
Machine Translation (Q)
|
60% |
355
7.93 IPS |
