Micro-Star International Co., Ltd. MS-7E70
Geekbench AI Score
47399
Single Precision Score
70932
Half Precision Score
35437
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 10 2025 02:13 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E70 |
| Motherboard | Micro-Star International Co., Ltd. X870E GAMING PLUS WIFI (MS-7E70) |
| Power Plan | Balanced |
| 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% |
17742
3.30 KIPS |
|
|
Image Classification (HP)
|
100% |
23425
4.36 KIPS |
|
|
Image Classification (Q)
|
100% |
15396
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30573
495.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
37847
613.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
29652
482.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
404694
472.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
983385
1.15 KIPS |
|
|
Pose Estimation (Q)
|
96% |
325798
381.6 IPS |
|
|
Object Detection (SP)
|
100% |
25233
2.00 KIPS |
|
|
Object Detection (HP)
|
100% |
33414
2.65 KIPS |
|
|
Object Detection (Q)
|
85% |
21076
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
69602
827.0 IPS |
|
|
Face Detection (HP)
|
100% |
90566
1.08 KIPS |
|
|
Face Detection (Q)
|
97% |
56155
669.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
108650
837.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
196435
1.51 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78505
628.8 IPS |
|
|
Style Transfer (SP)
|
100% |
618239
794.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1743581
2.24 KIPS |
|
|
Style Transfer (Q)
|
98% |
516038
665.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77931
2.88 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
103481
3.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55868
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
4385
5.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5365
7.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2614
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6468
111.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6427
110.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2999
56.2 IPS |
