Micro-Star International Co., Ltd. MS-7D91
Geekbench AI Score
10298
Single Precision Score
9601
Half Precision Score
7265
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Strange_Folding |
| Upload Date | October 28 2024 08:24 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE WIFI (MS-7D91) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3346
622.3 IPS |
|
|
Image Classification (HP)
|
100% |
4115
765.3 IPS |
|
|
Image Classification (Q)
|
100% |
2687
499.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5346
86.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5266
85.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4399
71.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
90192
105.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
52382
61.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
68395
80.1 IPS |
|
|
Object Detection (SP)
|
100% |
3879
307.6 IPS |
|
|
Object Detection (HP)
|
100% |
4982
395.2 IPS |
|
|
Object Detection (Q)
|
89% |
3217
257.5 IPS |
|
|
Face Detection (SP)
|
100% |
7386
87.8 IPS |
|
|
Face Detection (HP)
|
100% |
9655
114.7 IPS |
|
|
Face Detection (Q)
|
97% |
5843
69.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
26495
204.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22333
172.5 IPS |
|
|
Depth Estimation (Q)
|
74% |
18278
148.6 IPS |
|
|
Style Transfer (SP)
|
100% |
147761
189.9 IPS |
|
|
Style Transfer (HP)
|
100% |
76760
98.7 IPS |
|
|
Style Transfer (Q)
|
98% |
106215
137.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22359
825.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16516
609.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13017
482.0 IPS |
|
|
Text Classification (SP)
|
100% |
1730
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1098
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1917
33.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1905
32.9 IPS |
|
|
Machine Translation (Q)
|
60% |
972
21.7 IPS |
