Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
37628
Single Precision Score
42062
Half Precision Score
29091
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 20 2025 02:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| 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) |
| Power Plan | Rovnovha |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X3D |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15147
2.82 KIPS |
|
|
Image Classification (HP)
|
100% |
16864
3.14 KIPS |
|
|
Image Classification (Q)
|
99% |
12589
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26359
427.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23956
388.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
23508
382.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
291174
339.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
401913
469.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
249508
292.3 IPS |
|
|
Object Detection (SP)
|
100% |
17674
1.40 KIPS |
|
|
Object Detection (HP)
|
99% |
19046
1.51 KIPS |
|
|
Object Detection (Q)
|
87% |
15062
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
56023
665.7 IPS |
|
|
Face Detection (HP)
|
100% |
63458
754.0 IPS |
|
|
Face Detection (Q)
|
97% |
48592
579.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
80003
616.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
93363
719.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
63127
505.9 IPS |
|
|
Style Transfer (SP)
|
100% |
469162
603.1 IPS |
|
|
Style Transfer (HP)
|
100% |
649033
834.3 IPS |
|
|
Style Transfer (Q)
|
98% |
408727
527.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52855
1.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59324
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41725
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
4024
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3953
5.28 KIPS |
|
|
Text Classification (Q)
|
97% |
2454
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
6193
106.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6216
107.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3041
57.0 IPS |
