Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
24283
Single Precision Score
45848
Half Precision Score
18570
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | January 20 2026 11:28 AM |
| Views | 2 |
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 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10094
1.88 KIPS |
|
|
Image Classification (HP)
|
100% |
18202
3.38 KIPS |
|
|
Image Classification (Q)
|
100% |
9211
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18760
304.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
29646
480.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17156
279.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
124717
145.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
408208
476.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
116722
136.7 IPS |
|
|
Object Detection (SP)
|
100% |
12628
1.00 KIPS |
|
|
Object Detection (HP)
|
100% |
23652
1.88 KIPS |
|
|
Object Detection (Q)
|
83% |
10784
871.3 IPS |
|
|
Face Detection (SP)
|
100% |
32973
391.8 IPS |
|
|
Face Detection (HP)
|
100% |
56910
676.2 IPS |
|
|
Face Detection (Q)
|
97% |
28031
334.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
56419
434.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
117548
905.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
45010
359.3 IPS |
|
|
Style Transfer (SP)
|
100% |
174098
223.8 IPS |
|
|
Style Transfer (HP)
|
100% |
618908
795.6 IPS |
|
|
Style Transfer (Q)
|
98% |
151720
195.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34724
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66564
2.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27290
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3616
4.83 KIPS |
|
|
Text Classification (HP)
|
100% |
4337
5.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2275
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5880
101.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6591
113.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2064
38.7 IPS |
