Micro-Star International Co., Ltd. MS-7E77
Geekbench AI Score
22730
Single Precision Score
42010
Half Precision Score
17723
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 12:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B840M-P WIFI6E (MS-7E77) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9525
1.77 KIPS |
|
|
Image Classification (HP)
|
100% |
16951
3.15 KIPS |
|
|
Image Classification (Q)
|
100% |
8743
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15870
257.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22958
372.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14635
238.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
123033
143.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
391670
457.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
114547
134.2 IPS |
|
|
Object Detection (SP)
|
100% |
11597
919.9 IPS |
|
|
Object Detection (HP)
|
100% |
20906
1.66 KIPS |
|
|
Object Detection (Q)
|
83% |
10115
817.3 IPS |
|
|
Face Detection (SP)
|
100% |
30272
359.7 IPS |
|
|
Face Detection (HP)
|
100% |
49079
583.2 IPS |
|
|
Face Detection (Q)
|
97% |
26428
315.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
54537
420.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
116481
897.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
44460
354.9 IPS |
|
|
Style Transfer (SP)
|
100% |
173386
222.9 IPS |
|
|
Style Transfer (HP)
|
100% |
596146
766.4 IPS |
|
|
Style Transfer (Q)
|
98% |
149030
192.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34161
1.26 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65723
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25915
959.6 IPS |
|
|
Text Classification (SP)
|
100% |
3629
4.84 KIPS |
|
|
Text Classification (HP)
|
100% |
4536
6.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2314
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4810
82.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5289
91.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1965
36.9 IPS |
