Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1532
Single Precision Score
1568
Half Precision Score
1038
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 08:37 AM |
| Views | 2 |
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% |
666
123.8 IPS |
|
|
Image Classification (HP)
|
100% |
684
127.3 IPS |
|
|
Image Classification (Q)
|
100% |
560
104.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
916
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
701
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4671
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
5047
5.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
3174
3.72 IPS |
|
|
Object Detection (SP)
|
100% |
738
58.6 IPS |
|
|
Object Detection (HP)
|
98% |
623
49.5 IPS |
|
|
Object Detection (Q)
|
86% |
618
49.7 IPS |
|
|
Face Detection (SP)
|
100% |
1474
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
1620
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
1104
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2768
21.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3029
23.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
2050
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9612
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12945
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
7192
9.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1644
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2301
85.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
843
31.2 IPS |
|
|
Text Classification (SP)
|
100% |
774
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
430
574.2 IPS |
|
|
Text Classification (Q)
|
97% |
393
526.0 IPS |
|
|
Machine Translation (SP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (Q)
|
70% |
353
6.63 IPS |
