Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
6621
Single Precision Score
2328
Half Precision Score
11980
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 08:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E51 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870 TOMAHAWK WIFI (MS-7E51) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5254
977.0 IPS |
|
|
Image Classification (HP)
|
100% |
686
127.6 IPS |
|
|
Image Classification (Q)
|
99% |
11784
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2258
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1031
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16057
261.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16823
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12631
14.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
52464
61.5 IPS |
|
|
Object Detection (SP)
|
100% |
5345
424.0 IPS |
|
|
Object Detection (HP)
|
100% |
896
71.1 IPS |
|
|
Object Detection (Q)
|
86% |
13348
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
9519
113.1 IPS |
|
|
Face Detection (HP)
|
100% |
1834
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
14162
168.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15934
122.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3076
23.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
26140
208.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32912
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28192
36.2 IPS |
|
|
Style Transfer (Q)
|
98% |
43885
56.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3973
146.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3397
125.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4345
160.9 IPS |
|
|
Text Classification (SP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
970
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1594
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1117
19.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4085
82.1 IPS |
