Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
32696
Single Precision Score
55136
Half Precision Score
25209
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 10 2025 06:37 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 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 |
| 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% |
13849
2.58 KIPS |
|
|
Image Classification (HP)
|
100% |
20761
3.86 KIPS |
|
|
Image Classification (Q)
|
100% |
12022
2.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20697
335.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
28134
456.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19675
319.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
177163
206.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
670464
782.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
159334
186.6 IPS |
|
|
Object Detection (SP)
|
100% |
17443
1.38 KIPS |
|
|
Object Detection (HP)
|
100% |
27990
2.22 KIPS |
|
|
Object Detection (Q)
|
86% |
14749
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
48841
580.3 IPS |
|
|
Face Detection (HP)
|
100% |
66841
794.2 IPS |
|
|
Face Detection (Q)
|
97% |
40869
487.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
89392
688.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
146858
1.13 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67928
542.4 IPS |
|
|
Style Transfer (SP)
|
100% |
327574
421.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1035018
1.33 KIPS |
|
|
Style Transfer (Q)
|
98% |
274277
353.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49544
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81083
2.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37494
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
3905
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5010
6.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2329
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5698
98.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5740
98.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2805
52.6 IPS |
