Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
2962
Single Precision Score
1329
Half Precision Score
6524
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 03:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-A (MS-7D77) |
| Power Plan | Equilibrado |
| 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% |
3174
590.3 IPS |
|
|
Image Classification (HP)
|
100% |
618
115.0 IPS |
|
|
Image Classification (Q)
|
99% |
7725
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1206
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9659
157.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4278
4.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
3775
4.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
15792
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
1941
153.9 IPS |
|
|
Object Detection (HP)
|
100% |
535
42.4 IPS |
|
|
Object Detection (Q)
|
86% |
5362
431.0 IPS |
|
|
Face Detection (SP)
|
100% |
5094
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
1339
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
8120
96.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5747
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1887
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
6452
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10565
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9542
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22371
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1692
62.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1536
56.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4456
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
1630
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
708
945.2 IPS |
|
|
Text Classification (Q)
|
97% |
1558
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1921
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2718
54.6 IPS |
