Micro-Star International Co., Ltd. MS-7E62
Geekbench AI Score
31681
Single Precision Score
57540
Half Precision Score
24297
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | linuxferret |
| Upload Date | March 13 2026 07:58 PM |
| Views | 5 |
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-7E62 |
| Motherboard | Micro-Star International Co., Ltd. MAG B850 TOMAHAWK MAX WIFI (MS-7E62) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12259
2.28 KIPS |
|
|
Image Classification (HP)
|
100% |
21079
3.92 KIPS |
|
|
Image Classification (Q)
|
100% |
11232
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24693
400.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
39714
643.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
22774
370.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
173379
202.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
518636
605.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
149207
174.8 IPS |
|
|
Object Detection (SP)
|
100% |
17470
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
31033
2.46 KIPS |
|
|
Object Detection (Q)
|
83% |
14601
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
46685
554.7 IPS |
|
|
Face Detection (HP)
|
100% |
72594
862.6 IPS |
|
|
Face Detection (Q)
|
97% |
39328
468.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
73278
564.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
144638
1.11 KIPS |
|
|
Depth Estimation (Q)
|
78% |
57532
459.2 IPS |
|
|
Style Transfer (SP)
|
100% |
241720
310.7 IPS |
|
|
Style Transfer (HP)
|
100% |
860346
1.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
206546
266.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44831
1.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86431
3.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35696
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3992
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4886
6.52 KIPS |
|
|
Text Classification (Q)
|
97% |
2434
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
7508
129.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7741
133.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3170
59.5 IPS |
