Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1516
Single Precision Score
1533
Half Precision Score
1001
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | November 14 2024 07:24 PM |
| 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% |
624
116.0 IPS |
|
|
Image Classification (HP)
|
100% |
641
119.3 IPS |
|
|
Image Classification (Q)
|
99% |
506
94.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
971
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1048
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
724
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4686
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
5179
6.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
3204
3.75 IPS |
|
|
Object Detection (SP)
|
100% |
710
56.3 IPS |
|
|
Object Detection (HP)
|
98% |
598
47.6 IPS |
|
|
Object Detection (Q)
|
89% |
559
44.7 IPS |
|
|
Face Detection (SP)
|
100% |
1337
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
1424
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
952
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2796
21.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2996
23.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
2047
16.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9959
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13263
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
7415
9.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1614
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2344
86.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
873
32.3 IPS |
|
|
Text Classification (SP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
402
536.8 IPS |
|
|
Text Classification (Q)
|
97% |
406
544.0 IPS |
|
|
Machine Translation (SP)
|
100% |
668
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
60% |
303
6.77 IPS |
