Micro-Star International Co., Ltd. MS-7D54
Geekbench AI Score
2331
Single Precision Score
1153
Half Precision Score
3342
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | xeonz |
| Upload Date | January 27 2026 09:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D54 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570S TOMAHAWK MAX WIFI (MS-7D54) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1608
299.0 IPS |
|
|
Image Classification (HP)
|
100% |
464
86.2 IPS |
|
|
Image Classification (Q)
|
96% |
3294
615.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
2438
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3376
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2835
3.31 IPS |
|
|
Pose Estimation (Q)
|
86% |
7621
9.01 IPS |
|
|
Object Detection (SP)
|
100% |
1472
116.8 IPS |
|
|
Object Detection (HP)
|
100% |
549
43.6 IPS |
|
|
Object Detection (Q)
|
58% |
1917
209.4 IPS |
|
|
Face Detection (SP)
|
100% |
3406
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
1127
13.4 IPS |
|
|
Face Detection (Q)
|
96% |
5540
66.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4037
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1568
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7620
60.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8396
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6922
8.90 IPS |
|
|
Style Transfer (Q)
|
87% |
11235
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1521
56.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3229
119.6 IPS |
|
|
Text Classification (SP)
|
100% |
1386
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
400
536.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1845
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2424
46.8 IPS |
