Micro-Star International Co., Ltd. MS-7A33
Geekbench AI Score
7931
Single Precision Score
7995
Half Precision Score
5923
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | runnerxa |
| Upload Date | March 30 2026 11:16 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A33 |
| Motherboard | Micro-Star International Co., Ltd. X370 SLI PLUS (MS-7A33) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2109
392.2 IPS |
|
|
Image Classification (HP)
|
100% |
3421
636.2 IPS |
|
|
Image Classification (Q)
|
99% |
1890
352.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5061
82.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4852
78.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4226
68.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
54168
63.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
29774
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
44147
51.7 IPS |
|
|
Object Detection (SP)
|
100% |
2718
215.6 IPS |
|
|
Object Detection (HP)
|
100% |
4216
334.4 IPS |
|
|
Object Detection (Q)
|
84% |
2395
193.2 IPS |
|
|
Face Detection (SP)
|
100% |
5442
64.7 IPS |
|
|
Face Detection (HP)
|
100% |
8307
98.7 IPS |
|
|
Face Detection (Q)
|
97% |
4843
57.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17753
136.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16740
129.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
13662
109.0 IPS |
|
|
Style Transfer (SP)
|
100% |
87333
112.3 IPS |
|
|
Style Transfer (HP)
|
100% |
51723
66.5 IPS |
|
|
Style Transfer (Q)
|
98% |
69139
89.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15642
577.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12158
448.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9879
365.8 IPS |
|
|
Text Classification (SP)
|
100% |
1640
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2091
2.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1006
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2895
49.9 IPS |
|
|
Machine Translation (HP)
|
96% |
2803
48.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1385
26.0 IPS |
