Micro-Star International Co., Ltd. MS-7C96
Geekbench AI Score
10621
Single Precision Score
18362
Half Precision Score
7503
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | pearlhero033 |
| Upload Date | May 24 2025 01:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C96 |
| Motherboard | Micro-Star International Co., Ltd. A520M-A PRO (MS-7C96) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600GT |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4487
834.4 IPS |
|
|
Image Classification (HP)
|
99% |
7690
1.43 KIPS |
|
|
Image Classification (Q)
|
99% |
3647
680.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6420
104.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9578
155.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5252
85.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
49081
57.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
151730
177.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
40502
47.5 IPS |
|
|
Object Detection (SP)
|
100% |
5250
416.4 IPS |
|
|
Object Detection (HP)
|
100% |
9470
751.2 IPS |
|
|
Object Detection (Q)
|
84% |
4276
344.9 IPS |
|
|
Face Detection (SP)
|
100% |
11526
137.0 IPS |
|
|
Face Detection (HP)
|
100% |
18664
221.8 IPS |
|
|
Face Detection (Q)
|
97% |
9426
112.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26159
201.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51552
398.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
18778
150.6 IPS |
|
|
Style Transfer (SP)
|
100% |
84293
108.4 IPS |
|
|
Style Transfer (HP)
|
100% |
206687
265.7 IPS |
|
|
Style Transfer (Q)
|
98% |
66460
85.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16567
611.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27447
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9866
365.3 IPS |
|
|
Text Classification (SP)
|
100% |
2146
2.86 KIPS |
|
|
Text Classification (HP)
|
99% |
2683
3.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1196
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2726
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2812
48.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1229
23.0 IPS |
