Micro-Star International Co., Ltd. MS-7D54
Geekbench AI Score
21945
Single Precision Score
23407
Half Precision Score
16792
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Hkuryu |
| Upload Date | July 28 2025 01:00 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 XT |
| 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) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.28 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9406
1.75 KIPS |
|
|
Image Classification (HP)
|
100% |
7325
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
8002
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16140
261.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12042
195.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12838
208.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
122358
142.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
190776
222.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
102563
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
10172
806.8 IPS |
|
|
Object Detection (HP)
|
100% |
8775
696.0 IPS |
|
|
Object Detection (Q)
|
87% |
8866
712.1 IPS |
|
|
Face Detection (SP)
|
100% |
30174
358.5 IPS |
|
|
Face Detection (HP)
|
100% |
34113
405.3 IPS |
|
|
Face Detection (Q)
|
97% |
23755
283.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
51393
396.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
59281
456.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
38660
310.4 IPS |
|
|
Style Transfer (SP)
|
100% |
218316
280.6 IPS |
|
|
Style Transfer (HP)
|
100% |
275758
354.5 IPS |
|
|
Style Transfer (Q)
|
98% |
174799
225.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35628
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41355
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24903
922.1 IPS |
|
|
Text Classification (SP)
|
100% |
2089
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2536
3.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1616
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5443
93.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5717
98.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2954
55.4 IPS |
