Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
11410
Single Precision Score
15338
Half Precision Score
9414
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | doconnell565 |
| Upload Date | January 01 2026 11:05 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| 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% |
2338
434.8 IPS |
|
|
Image Classification (HP)
|
100% |
2666
495.8 IPS |
|
|
Image Classification (Q)
|
100% |
2313
430.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
9028
146.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11226
182.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9037
146.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
80109
93.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
152513
178.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
70770
82.9 IPS |
|
|
Object Detection (SP)
|
100% |
3109
246.6 IPS |
|
|
Object Detection (HP)
|
100% |
3513
278.7 IPS |
|
|
Object Detection (Q)
|
83% |
2999
242.3 IPS |
|
|
Face Detection (SP)
|
100% |
5359
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
5801
68.9 IPS |
|
|
Face Detection (Q)
|
97% |
4978
59.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
28236
217.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
39518
304.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
24679
197.0 IPS |
|
|
Style Transfer (SP)
|
100% |
115555
148.5 IPS |
|
|
Style Transfer (HP)
|
100% |
228158
293.3 IPS |
|
|
Style Transfer (Q)
|
98% |
110590
142.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30345
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51673
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24281
899.1 IPS |
|
|
Text Classification (SP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3491
4.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1943
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4410
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4764
82.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1924
36.1 IPS |
