MSI X570S TORPEDO R9 Micro-Star International Co., Ltd. MS-7D54
Geekbench AI Score
29308
Single Precision Score
50301
Half Precision Score
22678
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | lapinpt |
| Upload Date | February 10 2026 11:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D54 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570S TORPEDO MAX (MS-7D54) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11337
2.11 KIPS |
|
|
Image Classification (HP)
|
100% |
18200
3.38 KIPS |
|
|
Image Classification (Q)
|
100% |
10365
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22030
357.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
32298
523.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19991
325.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
176660
206.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
516227
602.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
151890
177.9 IPS |
|
|
Object Detection (SP)
|
100% |
15793
1.25 KIPS |
|
|
Object Detection (HP)
|
100% |
25421
2.02 KIPS |
|
|
Object Detection (Q)
|
83% |
13246
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
43599
518.0 IPS |
|
|
Face Detection (HP)
|
100% |
65249
775.3 IPS |
|
|
Face Detection (Q)
|
97% |
36860
439.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
72839
561.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
138671
1.07 KIPS |
|
|
Depth Estimation (Q)
|
78% |
57595
459.7 IPS |
|
|
Style Transfer (SP)
|
100% |
245591
315.7 IPS |
|
|
Style Transfer (HP)
|
100% |
814068
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
210736
271.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41955
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74825
2.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33387
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
3897
5.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2075
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
6070
104.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6259
107.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2785
52.2 IPS |
