Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1490
Single Precision Score
1564
Half Precision Score
989
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | November 01 2024 07:49 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% |
595
110.7 IPS |
|
|
Image Classification (HP)
|
100% |
627
116.7 IPS |
|
|
Image Classification (Q)
|
99% |
491
91.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
890
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1025
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
696
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4241
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4836
5.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
3070
3.60 IPS |
|
|
Object Detection (SP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (HP)
|
98% |
593
47.2 IPS |
|
|
Object Detection (Q)
|
89% |
538
43.0 IPS |
|
|
Face Detection (SP)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1389
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
922
11.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2596
20.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2879
22.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
1944
15.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9256
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12547
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
7177
9.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1623
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2263
83.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
866
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
471
629.2 IPS |
|
|
Text Classification (Q)
|
97% |
399
534.3 IPS |
|
|
Machine Translation (SP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
891
15.4 IPS |
|
|
Machine Translation (Q)
|
60% |
357
7.97 IPS |
