Micro-Star International Co., Ltd. MS-7D27
Geekbench AI Score
24303
Single Precision Score
35830
Half Precision Score
14575
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 28 2025 01:08 PM |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900KS |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9794
1.82 KIPS |
|
|
Image Classification (HP)
|
99% |
13619
2.54 KIPS |
|
|
Image Classification (Q)
|
100% |
6475
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15070
244.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19875
322.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10932
177.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
163823
191.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
337508
393.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
121901
142.8 IPS |
|
|
Object Detection (SP)
|
100% |
12139
962.9 IPS |
|
|
Object Detection (HP)
|
100% |
16916
1.34 KIPS |
|
|
Object Detection (Q)
|
85% |
8185
658.4 IPS |
|
|
Face Detection (SP)
|
100% |
31757
377.3 IPS |
|
|
Face Detection (HP)
|
100% |
43221
513.6 IPS |
|
|
Face Detection (Q)
|
97% |
20918
249.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
62181
479.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104207
802.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
36349
291.1 IPS |
|
|
Style Transfer (SP)
|
100% |
264110
339.5 IPS |
|
|
Style Transfer (HP)
|
100% |
610950
785.4 IPS |
|
|
Style Transfer (Q)
|
98% |
182675
235.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38497
1.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54472
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21515
796.7 IPS |
|
|
Text Classification (SP)
|
100% |
3081
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3880
5.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1438
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3959
68.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3880
66.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1426
26.7 IPS |
