Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
21694
Single Precision Score
39464
Half Precision Score
17179
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 14 2026 03:23 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9569
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
16639
3.09 KIPS |
|
|
Image Classification (Q)
|
100% |
8840
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12895
209.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17148
278.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12032
195.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
121402
141.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
386615
451.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
112692
132.0 IPS |
|
|
Object Detection (SP)
|
100% |
11545
915.7 IPS |
|
|
Object Detection (HP)
|
100% |
20036
1.59 KIPS |
|
|
Object Detection (Q)
|
83% |
10045
811.6 IPS |
|
|
Face Detection (SP)
|
100% |
27462
326.3 IPS |
|
|
Face Detection (HP)
|
100% |
43211
513.4 IPS |
|
|
Face Detection (Q)
|
97% |
24238
289.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
54749
421.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
117451
904.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
44349
354.0 IPS |
|
|
Style Transfer (SP)
|
100% |
172344
221.6 IPS |
|
|
Style Transfer (HP)
|
100% |
601535
773.3 IPS |
|
|
Style Transfer (Q)
|
98% |
147982
190.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34494
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66332
2.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27003
999.9 IPS |
|
|
Text Classification (SP)
|
100% |
3958
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4962
6.62 KIPS |
|
|
Text Classification (Q)
|
97% |
2411
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3775
65.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4126
71.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1796
33.7 IPS |
