Micro-Star International Co., Ltd. MS-7E70
Geekbench AI Score
26346
Single Precision Score
41084
Half Precision Score
22568
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | OMD |
| Upload Date | June 29 2025 09:47 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E70 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870E-P WIFI (MS-7E70) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12803
2.38 KIPS |
|
|
Image Classification (HP)
|
100% |
16036
2.98 KIPS |
|
|
Image Classification (Q)
|
100% |
12319
2.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12403
201.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15685
254.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17627
286.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
131747
153.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
460984
537.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
120264
140.9 IPS |
|
|
Object Detection (SP)
|
100% |
11258
893.0 IPS |
|
|
Object Detection (HP)
|
99% |
17079
1.35 KIPS |
|
|
Object Detection (Q)
|
87% |
10551
847.4 IPS |
|
|
Face Detection (SP)
|
100% |
33940
403.3 IPS |
|
|
Face Detection (HP)
|
100% |
50310
597.8 IPS |
|
|
Face Detection (Q)
|
97% |
29209
348.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
68902
530.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
97533
751.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
56937
456.6 IPS |
|
|
Style Transfer (SP)
|
100% |
244738
314.6 IPS |
|
|
Style Transfer (HP)
|
100% |
496847
638.7 IPS |
|
|
Style Transfer (Q)
|
98% |
211505
272.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40898
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76703
2.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33555
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
4321
5.77 KIPS |
|
|
Text Classification (HP)
|
100% |
5148
6.87 KIPS |
|
|
Text Classification (Q)
|
97% |
3017
4.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
6766
116.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7187
123.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3494
65.5 IPS |
