Micro-Star International Co., Ltd. MS-7E61
Geekbench AI Score
30843
Single Precision Score
56389
Half Precision Score
23506
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | cpsi90 |
| Upload Date | August 30 2025 04:42 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E61 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850M MORTAR WIFI (MS-7E61) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11863
2.21 KIPS |
|
|
Image Classification (HP)
|
100% |
21361
3.97 KIPS |
|
|
Image Classification (Q)
|
100% |
10753
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24165
391.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
39496
640.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
22049
358.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
168087
196.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
503759
587.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
144389
169.1 IPS |
|
|
Object Detection (SP)
|
100% |
16262
1.29 KIPS |
|
|
Object Detection (HP)
|
100% |
29242
2.32 KIPS |
|
|
Object Detection (Q)
|
83% |
13616
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
44745
531.7 IPS |
|
|
Face Detection (HP)
|
100% |
71394
848.3 IPS |
|
|
Face Detection (Q)
|
97% |
37620
448.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
70090
540.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
140941
1.09 KIPS |
|
|
Depth Estimation (Q)
|
78% |
55134
440.1 IPS |
|
|
Style Transfer (SP)
|
100% |
234238
301.1 IPS |
|
|
Style Transfer (HP)
|
100% |
824159
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
200305
258.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43557
1.61 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83333
3.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33928
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
4143
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4964
6.63 KIPS |
|
|
Text Classification (Q)
|
97% |
2468
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
7500
129.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7625
131.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3176
59.6 IPS |
