Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
3645
Single Precision Score
1505
Half Precision Score
6315
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JayFX |
| Upload Date | June 03 2025 09:17 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A WIFI (MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2687
499.7 IPS |
|
|
Image Classification (HP)
|
100% |
560
104.2 IPS |
|
|
Image Classification (Q)
|
99% |
5595
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
960
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3142
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5743
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4055
4.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
19786
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
2727
216.3 IPS |
|
|
Object Detection (HP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (Q)
|
86% |
5781
464.6 IPS |
|
|
Face Detection (SP)
|
100% |
7005
83.2 IPS |
|
|
Face Detection (HP)
|
100% |
1706
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
8760
104.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7535
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2104
16.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
13516
107.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13807
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9731
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21994
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2637
97.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1869
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3941
145.9 IPS |
|
|
Text Classification (SP)
|
100% |
1562
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1581
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2049
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3092
62.1 IPS |
