Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
9202
Single Precision Score
11130
Half Precision Score
7311
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ahofmann |
| Upload Date | January 13 2026 01:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 5500 XT |
| 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 High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3546
659.4 IPS |
|
|
Image Classification (HP)
|
100% |
4321
803.6 IPS |
|
|
Image Classification (Q)
|
100% |
3201
595.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4340
70.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4568
74.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3804
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
47890
55.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
77269
90.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
40468
47.4 IPS |
|
|
Object Detection (SP)
|
100% |
3691
292.8 IPS |
|
|
Object Detection (HP)
|
100% |
4104
325.6 IPS |
|
|
Object Detection (Q)
|
88% |
3402
272.7 IPS |
|
|
Face Detection (SP)
|
100% |
11065
131.5 IPS |
|
|
Face Detection (HP)
|
100% |
12288
146.0 IPS |
|
|
Face Detection (Q)
|
97% |
9406
112.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23126
178.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
27305
210.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
18404
147.2 IPS |
|
|
Style Transfer (SP)
|
100% |
83055
106.8 IPS |
|
|
Style Transfer (HP)
|
100% |
124233
159.7 IPS |
|
|
Style Transfer (Q)
|
98% |
66898
86.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15327
565.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18941
699.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10923
404.5 IPS |
|
|
Text Classification (SP)
|
100% |
1722
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2056
2.74 KIPS |
|
|
Text Classification (Q)
|
97% |
1227
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2856
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2873
49.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1678
31.5 IPS |
