Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
5862
Single Precision Score
2376
Half Precision Score
11599
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ZachDNichols |
| Upload Date | September 29 2025 08:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | Ultimate Performance |
| 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% |
4405
819.3 IPS |
|
|
Image Classification (HP)
|
100% |
766
142.4 IPS |
|
|
Image Classification (Q)
|
99% |
9383
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1648
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1055
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14798
240.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15331
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11603
13.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
61855
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
4441
352.3 IPS |
|
|
Object Detection (HP)
|
100% |
993
78.8 IPS |
|
|
Object Detection (Q)
|
86% |
13204
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
8550
101.6 IPS |
|
|
Face Detection (HP)
|
100% |
2136
25.4 IPS |
|
|
Face Detection (Q)
|
97% |
14163
168.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15086
116.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3043
23.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
25978
207.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31225
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26330
33.8 IPS |
|
|
Style Transfer (Q)
|
98% |
38980
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3935
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3205
118.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3767
139.5 IPS |
|
|
Text Classification (SP)
|
100% |
2058
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
979
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1761
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2976
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1148
19.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4086
82.1 IPS |
