Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
47919
Single Precision Score
71973
Half Precision Score
35008
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 06:10 PM |
| Views | 3 |
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-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16779
3.12 KIPS |
|
|
Image Classification (HP)
|
100% |
21660
4.03 KIPS |
|
|
Image Classification (Q)
|
100% |
14324
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39353
637.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
51099
828.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
35413
575.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
399097
465.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
933431
1.09 KIPS |
|
|
Pose Estimation (Q)
|
96% |
318388
372.9 IPS |
|
|
Object Detection (SP)
|
100% |
24792
1.97 KIPS |
|
|
Object Detection (HP)
|
100% |
32861
2.61 KIPS |
|
|
Object Detection (Q)
|
85% |
20358
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
75373
895.6 IPS |
|
|
Face Detection (HP)
|
100% |
102096
1.21 KIPS |
|
|
Face Detection (Q)
|
97% |
58750
700.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
106308
819.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
192319
1.48 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75313
603.2 IPS |
|
|
Style Transfer (SP)
|
100% |
588065
756.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1724946
2.22 KIPS |
|
|
Style Transfer (Q)
|
98% |
497301
641.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
71660
2.65 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
94331
3.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51861
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
3787
5.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4512
6.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2326
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
7642
131.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7622
131.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3169
59.4 IPS |
