Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
28044
Single Precision Score
34628
Half Precision Score
21968
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Fraxxed16 |
| Upload Date | May 25 2025 05:23 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A DDR4(MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11044
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
13903
2.59 KIPS |
|
|
Image Classification (Q)
|
99% |
10587
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20953
339.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16799
272.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18317
297.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
182966
213.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
327118
381.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
159436
186.8 IPS |
|
|
Object Detection (SP)
|
100% |
12433
986.2 IPS |
|
|
Object Detection (HP)
|
99% |
14626
1.16 KIPS |
|
|
Object Detection (Q)
|
87% |
10723
861.2 IPS |
|
|
Face Detection (SP)
|
100% |
42135
500.7 IPS |
|
|
Face Detection (HP)
|
100% |
46086
547.6 IPS |
|
|
Face Detection (Q)
|
97% |
36212
431.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
62833
484.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
83109
640.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
47353
379.5 IPS |
|
|
Style Transfer (SP)
|
100% |
320215
411.6 IPS |
|
|
Style Transfer (HP)
|
100% |
518043
666.0 IPS |
|
|
Style Transfer (Q)
|
98% |
282453
364.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36950
1.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56721
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27187
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3762
5.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3941
5.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2316
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4851
83.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5003
86.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2589
48.6 IPS |
