Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
4437
Single Precision Score
1752
Half Precision Score
9732
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 10:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-A WIFI (MS-7D77) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3715
690.8 IPS |
|
|
Image Classification (HP)
|
100% |
602
112.0 IPS |
|
|
Image Classification (Q)
|
99% |
8411
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
832
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11433
185.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8874
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
6330
7.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
33363
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
3726
295.6 IPS |
|
|
Object Detection (HP)
|
100% |
762
60.4 IPS |
|
|
Object Detection (Q)
|
86% |
9615
772.7 IPS |
|
|
Face Detection (SP)
|
100% |
7325
87.0 IPS |
|
|
Face Detection (HP)
|
100% |
1503
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
12562
149.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9354
72.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2607
20.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
19966
159.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16781
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17214
22.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37776
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2260
83.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2088
77.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4875
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
1643
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1389
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2704
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1019
17.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3854
77.4 IPS |
