Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
21976
Single Precision Score
31366
Half Precision Score
18851
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 21 2025 11:04 AM |
| Views | 2 |
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 8400F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10797
2.01 KIPS |
|
|
Image Classification (HP)
|
100% |
13264
2.47 KIPS |
|
|
Image Classification (Q)
|
100% |
10515
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9570
155.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11067
179.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12061
196.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
128177
149.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
394531
460.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
114754
134.4 IPS |
|
|
Object Detection (SP)
|
100% |
9499
753.5 IPS |
|
|
Object Detection (HP)
|
99% |
13553
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
8841
710.1 IPS |
|
|
Face Detection (SP)
|
100% |
26431
314.1 IPS |
|
|
Face Detection (HP)
|
100% |
32259
383.3 IPS |
|
|
Face Detection (Q)
|
97% |
22649
270.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
63007
485.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
82687
637.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
50891
408.1 IPS |
|
|
Style Transfer (SP)
|
100% |
221536
284.8 IPS |
|
|
Style Transfer (HP)
|
100% |
443561
570.2 IPS |
|
|
Style Transfer (Q)
|
98% |
191881
247.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36172
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60904
2.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29960
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3712
4.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3877
5.18 KIPS |
|
|
Text Classification (Q)
|
97% |
2732
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4217
72.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4204
72.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2433
45.6 IPS |
