Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
29318
Single Precision Score
50706
Half Precision Score
22817
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 09 2025 12:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11850
2.20 KIPS |
|
|
Image Classification (HP)
|
100% |
19790
3.68 KIPS |
|
|
Image Classification (Q)
|
100% |
10682
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20495
332.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
30224
490.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19079
310.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
166774
194.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
480242
560.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
142556
167.0 IPS |
|
|
Object Detection (SP)
|
100% |
15822
1.25 KIPS |
|
|
Object Detection (HP)
|
100% |
26148
2.07 KIPS |
|
|
Object Detection (Q)
|
83% |
13185
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
42071
499.9 IPS |
|
|
Face Detection (HP)
|
100% |
61419
729.8 IPS |
|
|
Face Detection (Q)
|
97% |
35332
421.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
72362
557.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
131829
1.02 KIPS |
|
|
Depth Estimation (Q)
|
78% |
56874
454.0 IPS |
|
|
Style Transfer (SP)
|
100% |
235747
303.1 IPS |
|
|
Style Transfer (HP)
|
100% |
778911
1.00 KIPS |
|
|
Style Transfer (Q)
|
98% |
205279
264.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43838
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79856
2.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34594
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3870
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4748
6.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2430
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
6013
103.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6256
107.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2880
54.0 IPS |
