Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
1695
Single Precision Score
1703
Half Precision Score
1108
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ManicSeaMonkey |
| Upload Date | September 23 2024 09:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI (MS-7D91) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
698
129.7 IPS |
|
|
Image Classification (HP)
|
100% |
712
132.3 IPS |
|
|
Image Classification (Q)
|
99% |
564
105.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
796
12.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5513
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5908
6.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
3668
4.30 IPS |
|
|
Object Detection (SP)
|
100% |
780
61.9 IPS |
|
|
Object Detection (HP)
|
98% |
670
53.3 IPS |
|
|
Object Detection (Q)
|
89% |
607
48.6 IPS |
|
|
Face Detection (SP)
|
100% |
1484
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
1590
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
1050
12.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3065
23.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3366
26.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
2220
17.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11083
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15001
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8273
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1839
67.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2626
97.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
953
35.3 IPS |
|
|
Text Classification (SP)
|
100% |
905
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
413
551.7 IPS |
|
|
Text Classification (Q)
|
97% |
456
611.2 IPS |
|
|
Machine Translation (SP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
717
12.4 IPS |
|
|
Machine Translation (Q)
|
60% |
334
7.44 IPS |
