Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
24181
Single Precision Score
36269
Half Precision Score
19814
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E28 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-B (MS-7E28) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12271
2.28 KIPS |
|
|
Image Classification (HP)
|
100% |
14618
2.72 KIPS |
|
|
Image Classification (Q)
|
100% |
11285
2.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12894
209.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16574
268.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11905
193.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
127645
148.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
405297
472.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
112908
132.3 IPS |
|
|
Object Detection (SP)
|
100% |
10398
824.8 IPS |
|
|
Object Detection (HP)
|
99% |
15774
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
9621
772.7 IPS |
|
|
Face Detection (SP)
|
100% |
26855
319.1 IPS |
|
|
Face Detection (HP)
|
100% |
34077
404.9 IPS |
|
|
Face Detection (Q)
|
97% |
24083
287.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
65335
503.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
91927
708.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
53402
428.3 IPS |
|
|
Style Transfer (SP)
|
100% |
235154
302.3 IPS |
|
|
Style Transfer (HP)
|
100% |
463847
596.3 IPS |
|
|
Style Transfer (Q)
|
98% |
199851
257.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39952
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78313
2.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31542
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
4503
6.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5070
6.77 KIPS |
|
|
Text Classification (Q)
|
97% |
3117
4.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4386
75.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4408
75.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2530
47.5 IPS |
