Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
7173
Single Precision Score
7582
Half Precision Score
5246
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | andreadandrea |
| Upload Date | February 23 2025 04:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 580 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A38 |
| Motherboard | Micro-Star International Co., Ltd. B450M PRO-VDH PLUS (MS-7A38) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2911
541.4 IPS |
|
|
Image Classification (HP)
|
100% |
3423
636.6 IPS |
|
|
Image Classification (Q)
|
100% |
2397
445.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3503
56.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3705
60.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2929
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
46289
54.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
50879
59.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
38184
44.7 IPS |
|
|
Object Detection (SP)
|
100% |
3303
262.0 IPS |
|
|
Object Detection (HP)
|
100% |
3202
254.0 IPS |
|
|
Object Detection (Q)
|
88% |
2742
219.8 IPS |
|
|
Face Detection (SP)
|
100% |
8443
100.3 IPS |
|
|
Face Detection (HP)
|
100% |
10657
126.6 IPS |
|
|
Face Detection (Q)
|
97% |
6857
81.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18244
140.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19793
152.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
13325
106.8 IPS |
|
|
Style Transfer (SP)
|
100% |
76469
98.3 IPS |
|
|
Style Transfer (HP)
|
100% |
83854
107.8 IPS |
|
|
Style Transfer (Q)
|
98% |
59277
76.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11589
427.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12521
462.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7488
277.3 IPS |
|
|
Text Classification (SP)
|
100% |
1150
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
948
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
668
895.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1475
25.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1449
25.1 IPS |
|
|
Machine Translation (Q)
|
70% |
793
14.9 IPS |
