Micro-Star International Co., Ltd. MS-7E28
Geekbench AI Score
6664
Single Precision Score
10472
Half Precision Score
5128
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 04 2025 01:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| 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 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2747
510.9 IPS |
|
|
Image Classification (HP)
|
100% |
4449
827.4 IPS |
|
|
Image Classification (Q)
|
100% |
2461
457.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3436
55.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4482
72.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2815
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
30105
35.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
51330
59.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
23451
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
2339
185.5 IPS |
|
|
Object Detection (HP)
|
100% |
3753
297.7 IPS |
|
|
Object Detection (Q)
|
87% |
2155
173.1 IPS |
|
|
Face Detection (SP)
|
100% |
5181
61.6 IPS |
|
|
Face Detection (HP)
|
100% |
9990
118.7 IPS |
|
|
Face Detection (Q)
|
97% |
4541
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15901
122.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24000
184.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
11463
91.9 IPS |
|
|
Style Transfer (SP)
|
100% |
54873
70.5 IPS |
|
|
Style Transfer (HP)
|
100% |
90305
116.1 IPS |
|
|
Style Transfer (Q)
|
98% |
38649
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10180
375.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20035
739.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6923
256.3 IPS |
|
|
Text Classification (SP)
|
100% |
2536
3.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (Q)
|
97% |
1874
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2230
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3259
56.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1377
25.8 IPS |
