Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
37274
Single Precision Score
17609
Half Precision Score
29130
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 31 2025 07:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-S WIFI (MS-7E26) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15541
2.89 KIPS |
|
|
Image Classification (HP)
|
4% |
71
3.21 KIPS |
|
|
Image Classification (Q)
|
99% |
13395
2.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24578
398.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21202
343.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
22996
373.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
261766
305.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
401005
467.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
226063
264.8 IPS |
|
|
Object Detection (SP)
|
100% |
18277
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
18135
1.44 KIPS |
|
|
Object Detection (Q)
|
87% |
16013
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
50477
599.8 IPS |
|
|
Face Detection (HP)
|
100% |
60797
722.4 IPS |
|
|
Face Detection (Q)
|
97% |
43918
523.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
82582
636.2 IPS |
|
|
Depth Estimation (HP)
|
23% |
3673
775.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
67014
537.0 IPS |
|
|
Style Transfer (SP)
|
100% |
460311
591.7 IPS |
|
|
Style Transfer (HP)
|
100% |
640668
823.6 IPS |
|
|
Style Transfer (Q)
|
98% |
399321
514.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51366
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62518
2.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40619
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
4426
5.91 KIPS |
|
|
Text Classification (HP)
|
100% |
4369
5.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2798
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
6495
111.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6702
115.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2954
55.4 IPS |
