Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
32926
Single Precision Score
55820
Half Precision Score
25219
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | October 19 2025 11:59 AM |
| Views | 2 |
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% |
13912
2.59 KIPS |
|
|
Image Classification (HP)
|
100% |
20982
3.90 KIPS |
|
|
Image Classification (Q)
|
100% |
12255
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21080
341.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
28698
465.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19674
319.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
177499
207.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
680499
794.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
161377
189.0 IPS |
|
|
Object Detection (SP)
|
100% |
17658
1.40 KIPS |
|
|
Object Detection (HP)
|
100% |
28778
2.28 KIPS |
|
|
Object Detection (Q)
|
86% |
14632
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
48920
581.3 IPS |
|
|
Face Detection (HP)
|
100% |
68527
814.2 IPS |
|
|
Face Detection (Q)
|
97% |
40884
487.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
87895
677.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
149781
1.15 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65867
526.0 IPS |
|
|
Style Transfer (SP)
|
100% |
322931
415.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1020262
1.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
268391
346.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49035
1.81 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79911
2.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37240
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4120
5.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5114
6.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2411
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5809
100.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5820
100.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2817
52.8 IPS |
