Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
51525
Single Precision Score
78680
Half Precision Score
37577
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 15 2025 03:44 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | Ultimate Performance |
| 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% |
18464
3.43 KIPS |
|
|
Image Classification (HP)
|
100% |
24234
4.51 KIPS |
|
|
Image Classification (Q)
|
100% |
16013
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
40659
659.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
53317
864.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
37628
611.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
418169
487.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
1046934
1.22 KIPS |
|
|
Pose Estimation (Q)
|
96% |
336124
393.7 IPS |
|
|
Object Detection (SP)
|
100% |
27023
2.14 KIPS |
|
|
Object Detection (HP)
|
100% |
35905
2.85 KIPS |
|
|
Object Detection (Q)
|
85% |
22165
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
79879
949.1 IPS |
|
|
Face Detection (HP)
|
100% |
109708
1.30 KIPS |
|
|
Face Detection (Q)
|
97% |
62689
747.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
111530
859.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
199498
1.54 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79862
639.7 IPS |
|
|
Style Transfer (SP)
|
100% |
626893
805.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1908158
2.45 KIPS |
|
|
Style Transfer (Q)
|
98% |
520390
671.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
80019
2.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
106930
3.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56985
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
4416
5.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5281
7.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2529
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
7878
135.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7938
136.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3331
62.5 IPS |
