Micro-Star International Co., Ltd. MS-7A34
Geekbench AI Score
10730
Single Precision Score
11062
Half Precision Score
8373
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | teklarz |
| Upload Date | January 28 2025 09:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) A750 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A34 |
| Motherboard | Micro-Star International Co., Ltd. B350 PC MATE (MS-7A34) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4638
862.5 IPS |
|
|
Image Classification (HP)
|
100% |
4727
879.2 IPS |
|
|
Image Classification (Q)
|
99% |
4003
746.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6400
103.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9417
152.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5782
94.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
71901
83.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
65569
76.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
58454
68.5 IPS |
|
|
Object Detection (SP)
|
100% |
6048
479.7 IPS |
|
|
Object Detection (HP)
|
99% |
6143
488.6 IPS |
|
|
Object Detection (Q)
|
85% |
5092
409.8 IPS |
|
|
Face Detection (SP)
|
100% |
15496
184.1 IPS |
|
|
Face Detection (HP)
|
100% |
15562
184.9 IPS |
|
|
Face Detection (Q)
|
97% |
12572
149.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27771
214.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
27775
214.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
21826
174.7 IPS |
|
|
Style Transfer (SP)
|
100% |
154462
198.6 IPS |
|
|
Style Transfer (HP)
|
100% |
128589
165.3 IPS |
|
|
Style Transfer (Q)
|
98% |
117518
151.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15718
580.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21274
785.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11363
420.8 IPS |
|
|
Text Classification (SP)
|
86% |
762
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
721
962.4 IPS |
|
|
Text Classification (Q)
|
84% |
596
808.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1970
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1795
30.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1127
21.1 IPS |
