Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
23150
Single Precision Score
36372
Half Precision Score
13211
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 08:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| 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 i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8620
1.60 KIPS |
|
|
Image Classification (HP)
|
99% |
13030
2.43 KIPS |
|
|
Image Classification (Q)
|
100% |
5740
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16597
269.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24094
390.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11386
185.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
128637
150.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
379649
443.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
96336
112.9 IPS |
|
|
Object Detection (SP)
|
100% |
11624
922.0 IPS |
|
|
Object Detection (HP)
|
100% |
16671
1.32 KIPS |
|
|
Object Detection (Q)
|
85% |
8132
654.2 IPS |
|
|
Face Detection (SP)
|
100% |
31994
380.2 IPS |
|
|
Face Detection (HP)
|
100% |
45726
543.3 IPS |
|
|
Face Detection (Q)
|
97% |
19071
227.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
54721
421.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
97614
752.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
33951
272.0 IPS |
|
|
Style Transfer (SP)
|
100% |
242056
311.2 IPS |
|
|
Style Transfer (HP)
|
100% |
566041
727.7 IPS |
|
|
Style Transfer (Q)
|
98% |
172687
222.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34757
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42707
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17428
645.3 IPS |
|
|
Text Classification (SP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
4012
5.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1255
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4628
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4711
81.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1294
24.3 IPS |
