Micro-Star International Co., Ltd. MS-7D77
Geekbench AI Score
30221
Single Precision Score
53037
Half Precision Score
23474
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 06 2025 12:04 PM |
| Views | 9 |
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 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12270
2.28 KIPS |
|
|
Image Classification (HP)
|
100% |
20831
3.87 KIPS |
|
|
Image Classification (Q)
|
100% |
11161
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20572
333.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
30237
490.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19574
318.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
170596
199.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
490300
572.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
145190
170.1 IPS |
|
|
Object Detection (SP)
|
100% |
16709
1.33 KIPS |
|
|
Object Detection (HP)
|
100% |
28514
2.26 KIPS |
|
|
Object Detection (Q)
|
83% |
13965
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
42795
508.5 IPS |
|
|
Face Detection (HP)
|
100% |
62662
744.6 IPS |
|
|
Face Detection (Q)
|
97% |
36275
432.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
73930
569.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
135784
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
58300
465.3 IPS |
|
|
Style Transfer (SP)
|
100% |
246598
317.0 IPS |
|
|
Style Transfer (HP)
|
100% |
845248
1.09 KIPS |
|
|
Style Transfer (Q)
|
98% |
209361
270.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44868
1.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84837
3.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35585
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
4198
5.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5259
7.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2505
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6011
103.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6233
107.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2906
54.5 IPS |
