Micro-Star International Co., Ltd. MS-7A38
Geekbench AI Score
842
Single Precision Score
449
Half Precision Score
962
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | andreadandrea |
| Upload Date | February 23 2025 04:38 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 2600 |
| 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% |
553
102.9 IPS |
|
|
Image Classification (HP)
|
100% |
179
33.4 IPS |
|
|
Image Classification (Q)
|
96% |
621
115.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
396
6.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
253
4.09 IPS |
|
|
Image Segmentation (Q)
|
97% |
689
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1447
1.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1228
1.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
1588
1.88 IPS |
|
|
Object Detection (SP)
|
100% |
556
44.1 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.5 IPS |
|
|
Object Detection (Q)
|
58% |
449
49.1 IPS |
|
|
Face Detection (SP)
|
100% |
1439
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
501
5.95 IPS |
|
|
Face Detection (Q)
|
96% |
2326
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1515
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
731
5.63 IPS |
|
|
Depth Estimation (Q)
|
78% |
1681
13.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3648
4.69 IPS |
|
|
Style Transfer (HP)
|
100% |
2937
3.78 IPS |
|
|
Style Transfer (Q)
|
87% |
3773
4.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
557
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
494
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
639
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
371
495.7 IPS |
|
|
Text Classification (HP)
|
100% |
204
272.4 IPS |
|
|
Text Classification (Q)
|
97% |
339
454.6 IPS |
|
|
Machine Translation (SP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.64 IPS |
|
|
Machine Translation (Q)
|
68% |
700
13.5 IPS |
