Micro-Star International Co., Ltd. MS-7D27
Geekbench AI Score
24672
Single Precision Score
38131
Half Precision Score
14853
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ejemplo_helado |
| Upload Date | December 28 2025 11:14 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D27 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z690 ACE (MS-7D27) |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700KF |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8931
1.66 KIPS |
|
|
Image Classification (HP)
|
99% |
14582
2.72 KIPS |
|
|
Image Classification (Q)
|
100% |
6163
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17848
289.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
25173
408.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
12437
202.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
169465
197.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
357244
416.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
126355
148.0 IPS |
|
|
Object Detection (SP)
|
100% |
12198
967.6 IPS |
|
|
Object Detection (HP)
|
100% |
17104
1.36 KIPS |
|
|
Object Detection (Q)
|
85% |
8274
665.6 IPS |
|
|
Face Detection (SP)
|
100% |
34489
409.8 IPS |
|
|
Face Detection (HP)
|
100% |
49545
588.7 IPS |
|
|
Face Detection (Q)
|
97% |
22266
265.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
62554
481.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
108054
832.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
37540
300.6 IPS |
|
|
Style Transfer (SP)
|
100% |
258408
332.2 IPS |
|
|
Style Transfer (HP)
|
100% |
623781
801.9 IPS |
|
|
Style Transfer (Q)
|
98% |
189593
244.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35999
1.33 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53601
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21156
783.4 IPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
99% |
3612
4.82 KIPS |
|
|
Text Classification (Q)
|
97% |
1267
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4378
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4482
77.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1536
28.8 IPS |
