Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
13812
Single Precision Score
15866
Half Precision Score
10479
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | doconnell565 |
| Upload Date | January 01 2026 09:58 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 5700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. X570-A PRO (MS-7C37) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5926
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
6234
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
5047
938.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7470
121.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7531
122.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6293
102.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
79942
93.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
120901
141.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
68376
80.1 IPS |
|
|
Object Detection (SP)
|
100% |
6069
481.4 IPS |
|
|
Object Detection (HP)
|
100% |
6012
476.9 IPS |
|
|
Object Detection (Q)
|
88% |
5392
432.3 IPS |
|
|
Face Detection (SP)
|
100% |
17781
211.3 IPS |
|
|
Face Detection (HP)
|
100% |
19282
229.1 IPS |
|
|
Face Detection (Q)
|
97% |
15578
185.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
33923
261.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
38618
298.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
26651
213.1 IPS |
|
|
Style Transfer (SP)
|
100% |
127941
164.5 IPS |
|
|
Style Transfer (HP)
|
100% |
191011
245.5 IPS |
|
|
Style Transfer (Q)
|
98% |
107693
138.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23588
871.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27335
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16363
605.9 IPS |
|
|
Text Classification (SP)
|
100% |
1576
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1796
2.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1049
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4102
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4243
73.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1778
33.4 IPS |
