Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
1878
Single Precision Score
2125
Half Precision Score
1557
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 12 2025 01:04 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
663
123.3 IPS |
|
|
Image Classification (HP)
|
100% |
681
126.6 IPS |
|
|
Image Classification (Q)
|
100% |
673
125.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1085
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
954
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6287
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
10599
12.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
5585
6.54 IPS |
|
|
Object Detection (SP)
|
100% |
729
57.8 IPS |
|
|
Object Detection (HP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (Q)
|
87% |
688
55.2 IPS |
|
|
Face Detection (SP)
|
100% |
2148
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
2171
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
1983
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3528
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4366
33.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
3118
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10565
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15732
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
9447
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2832
104.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3778
139.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2136
79.1 IPS |
|
|
Text Classification (SP)
|
100% |
749
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
932
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
519
695.3 IPS |
|
|
Machine Translation (SP)
|
100% |
978
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1109
19.1 IPS |
|
|
Machine Translation (Q)
|
70% |
525
9.85 IPS |
