Micro-Star International Co., Ltd. MS-7E70
Geekbench AI Score
26437
Single Precision Score
40491
Half Precision Score
22419
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 23 2025 02:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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 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% |
12578
2.34 KIPS |
|
|
Image Classification (HP)
|
100% |
15533
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
12237
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12638
204.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15768
255.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17953
291.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
138224
161.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
467273
545.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
121791
142.7 IPS |
|
|
Object Detection (SP)
|
100% |
11225
890.4 IPS |
|
|
Object Detection (HP)
|
99% |
16842
1.34 KIPS |
|
|
Object Detection (Q)
|
87% |
10656
855.8 IPS |
|
|
Face Detection (SP)
|
100% |
34024
404.3 IPS |
|
|
Face Detection (HP)
|
100% |
49660
590.1 IPS |
|
|
Face Detection (Q)
|
97% |
29192
348.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
68821
530.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
96455
743.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
57243
459.1 IPS |
|
|
Style Transfer (SP)
|
100% |
253311
325.6 IPS |
|
|
Style Transfer (HP)
|
100% |
494070
635.1 IPS |
|
|
Style Transfer (Q)
|
98% |
212431
273.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39578
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74962
2.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33279
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
4158
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4712
6.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2649
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
6928
119.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7353
126.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3596
67.4 IPS |
