Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
24204
Single Precision Score
45926
Half Precision Score
18594
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 02 2025 10:45 AM |
| Views | 4 |
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-7D77 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650M-A WIFI (MS-7D77) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| 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% |
10524
1.96 KIPS |
|
|
Image Classification (HP)
|
100% |
19469
3.62 KIPS |
|
|
Image Classification (Q)
|
100% |
9620
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16676
270.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24660
399.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15655
254.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
120754
140.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
409094
477.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
113750
133.2 IPS |
|
|
Object Detection (SP)
|
100% |
13034
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
24574
1.95 KIPS |
|
|
Object Detection (Q)
|
83% |
11105
897.3 IPS |
|
|
Face Detection (SP)
|
100% |
31909
379.1 IPS |
|
|
Face Detection (HP)
|
100% |
53838
639.7 IPS |
|
|
Face Detection (Q)
|
97% |
27346
326.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
56227
433.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
121295
934.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
45247
361.1 IPS |
|
|
Style Transfer (SP)
|
100% |
178184
229.1 IPS |
|
|
Style Transfer (HP)
|
100% |
637314
819.3 IPS |
|
|
Style Transfer (Q)
|
98% |
155156
200.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37303
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72514
2.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27421
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
4153
5.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5075
6.77 KIPS |
|
|
Text Classification (Q)
|
97% |
2481
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5046
86.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5648
97.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1989
37.3 IPS |
