Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
20626
Single Precision Score
26893
Half Precision Score
16682
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 01:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E51 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870 TOMAHAWK WIFI (MS-7E51) |
| 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% |
9910
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
11621
2.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8977
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13854
224.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11707
189.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12281
199.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
108809
127.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
209849
244.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
96416
112.9 IPS |
|
|
Object Detection (SP)
|
100% |
7571
600.5 IPS |
|
|
Object Detection (HP)
|
99% |
11934
946.6 IPS |
|
|
Object Detection (Q)
|
87% |
6838
549.2 IPS |
|
|
Face Detection (SP)
|
100% |
26914
319.8 IPS |
|
|
Face Detection (HP)
|
100% |
35252
418.9 IPS |
|
|
Face Detection (Q)
|
97% |
22919
273.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
53232
410.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
66883
515.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
43525
349.0 IPS |
|
|
Style Transfer (SP)
|
100% |
178108
229.0 IPS |
|
|
Style Transfer (HP)
|
100% |
299267
384.7 IPS |
|
|
Style Transfer (Q)
|
98% |
167805
216.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30356
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43573
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24734
915.9 IPS |
|
|
Text Classification (SP)
|
100% |
3751
5.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3828
5.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2406
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4241
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4935
85.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2306
43.2 IPS |
