Micro-Star International Co., Ltd. MS-7D14
Geekbench AI Score
15329
Single Precision Score
26738
Half Precision Score
10333
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | slawomirrybarczyk |
| Upload Date | July 16 2025 04:57 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D14 |
| Motherboard | Micro-Star International Co., Ltd. B550M PRO (MS-7D14) |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6464
1.20 KIPS |
|
|
Image Classification (HP)
|
99% |
10812
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
4841
902.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
10976
177.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
17924
290.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8558
139.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
71077
82.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
203966
238.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
59432
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
7879
625.0 IPS |
|
|
Object Detection (HP)
|
100% |
14406
1.14 KIPS |
|
|
Object Detection (Q)
|
84% |
6077
490.1 IPS |
|
|
Face Detection (SP)
|
100% |
18344
218.0 IPS |
|
|
Face Detection (HP)
|
100% |
30473
362.1 IPS |
|
|
Face Detection (Q)
|
97% |
14233
169.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
36328
279.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
69160
534.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
24882
199.2 IPS |
|
|
Style Transfer (SP)
|
100% |
121618
156.3 IPS |
|
|
Style Transfer (HP)
|
100% |
307674
395.5 IPS |
|
|
Style Transfer (Q)
|
98% |
97028
125.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22031
813.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37096
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14081
521.4 IPS |
|
|
Text Classification (SP)
|
100% |
2411
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
3158
4.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1243
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4189
72.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4318
74.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1542
28.9 IPS |
