Micro-Star International Co., Ltd. MS-7D54
Geekbench AI Score
35411
Single Precision Score
41234
Half Precision Score
28405
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 11:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D54 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570S TOMAHAWK MAX WIFI (MS-7D54) |
| Power Plan | Optimala prestanda |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13518
2.51 KIPS |
|
|
Image Classification (HP)
|
100% |
14328
2.66 KIPS |
|
|
Image Classification (Q)
|
99% |
12398
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25305
410.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22243
360.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
22571
367.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
289862
338.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
507963
592.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
256605
300.6 IPS |
|
|
Object Detection (SP)
|
100% |
17562
1.39 KIPS |
|
|
Object Detection (HP)
|
99% |
18678
1.48 KIPS |
|
|
Object Detection (Q)
|
87% |
15287
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
47419
563.4 IPS |
|
|
Face Detection (HP)
|
100% |
52558
624.5 IPS |
|
|
Face Detection (Q)
|
97% |
42472
506.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
75868
584.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98808
761.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
60252
482.8 IPS |
|
|
Style Transfer (SP)
|
100% |
457297
587.9 IPS |
|
|
Style Transfer (HP)
|
100% |
700835
900.9 IPS |
|
|
Style Transfer (Q)
|
98% |
403114
519.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50839
1.88 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63122
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38836
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
4081
5.45 KIPS |
|
|
Text Classification (HP)
|
100% |
3777
5.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2619
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5217
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5416
93.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2969
55.7 IPS |
