Micro-Star International Co., Ltd. MS-7D14
Geekbench AI Score
2038
Single Precision Score
999
Half Precision Score
3397
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Ricktheslickster |
| Upload Date | July 01 2025 09:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D14 |
| Motherboard | Micro-Star International Co., Ltd. A520M PRO (MS-7D14) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1395
259.5 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (Q)
|
96% |
3682
687.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1066
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
2021
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3046
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
2527
2.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
8113
9.59 IPS |
|
|
Object Detection (SP)
|
100% |
1658
131.5 IPS |
|
|
Object Detection (HP)
|
100% |
559
44.3 IPS |
|
|
Object Detection (Q)
|
58% |
2496
272.7 IPS |
|
|
Face Detection (SP)
|
100% |
2671
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
998
11.9 IPS |
|
|
Face Detection (Q)
|
96% |
5598
66.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4168
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1652
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
7457
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8286
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6013
7.73 IPS |
|
|
Style Transfer (Q)
|
87% |
7910
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1170
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1160
42.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1848
68.5 IPS |
|
|
Text Classification (SP)
|
100% |
1148
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
504
673.2 IPS |
|
|
Text Classification (Q)
|
97% |
1288
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
495
8.52 IPS |
|
|
Machine Translation (Q)
|
68% |
1729
33.4 IPS |
