Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
34897
Single Precision Score
41391
Half Precision Score
28405
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 22 2025 01:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING PLUS (MS-7C37) |
| Power Plan | Energiesparmodus |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13990
2.60 KIPS |
|
|
Image Classification (HP)
|
100% |
15593
2.90 KIPS |
|
|
Image Classification (Q)
|
99% |
13408
2.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25157
407.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21969
356.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
22437
364.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
267180
311.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
497034
580.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
236483
277.0 IPS |
|
|
Object Detection (SP)
|
100% |
16512
1.31 KIPS |
|
|
Object Detection (HP)
|
99% |
18077
1.43 KIPS |
|
|
Object Detection (Q)
|
87% |
15005
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
47821
568.2 IPS |
|
|
Face Detection (HP)
|
100% |
54139
643.3 IPS |
|
|
Face Detection (Q)
|
97% |
42186
503.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
82357
634.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
96972
747.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
66557
533.4 IPS |
|
|
Style Transfer (SP)
|
100% |
431823
555.1 IPS |
|
|
Style Transfer (HP)
|
100% |
686717
882.8 IPS |
|
|
Style Transfer (Q)
|
98% |
383534
494.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47310
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63637
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38524
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
4094
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
3955
5.28 KIPS |
|
|
Text Classification (Q)
|
97% |
2615
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5238
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5285
91.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2953
55.4 IPS |
