Micro-Star International Co., Ltd. MS-7C89
Geekbench AI Score
6983
Single Precision Score
7509
Half Precision Score
5196
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | LessPlum3393 |
| Upload Date | April 06 2025 06:25 AM |
| Views | 7 |
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-7C89 |
| Motherboard | Micro-Star International Co., Ltd. H410M PRO-VH (MS-7C89) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2640
490.9 IPS |
|
|
Image Classification (HP)
|
100% |
3209
596.7 IPS |
|
|
Image Classification (Q)
|
100% |
2236
415.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3389
54.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3602
58.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2884
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
50419
58.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
53014
61.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
41897
49.1 IPS |
|
|
Object Detection (SP)
|
100% |
3107
246.4 IPS |
|
|
Object Detection (HP)
|
100% |
3322
263.5 IPS |
|
|
Object Detection (Q)
|
88% |
2638
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
8461
100.5 IPS |
|
|
Face Detection (HP)
|
100% |
10709
127.2 IPS |
|
|
Face Detection (Q)
|
97% |
6904
82.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17613
135.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19877
153.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12858
103.1 IPS |
|
|
Style Transfer (SP)
|
100% |
79282
101.9 IPS |
|
|
Style Transfer (HP)
|
100% |
86277
110.9 IPS |
|
|
Style Transfer (Q)
|
98% |
60823
78.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11065
408.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12035
444.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7225
267.5 IPS |
|
|
Text Classification (SP)
|
100% |
1009
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
623
834.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1493
25.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1629
28.2 IPS |
|
|
Machine Translation (Q)
|
70% |
829
15.5 IPS |
