Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
5455
Single Precision Score
1815
Half Precision Score
9779
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | barmanracing |
| Upload Date | December 09 2025 10:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700K |
| 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 DDR4(MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4609
857.1 IPS |
|
|
Image Classification (HP)
|
100% |
695
129.2 IPS |
|
|
Image Classification (Q)
|
99% |
7424
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13318
216.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10410
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
4907
5.73 IPS |
|
|
Pose Estimation (Q)
|
94% |
33734
39.6 IPS |
|
|
Object Detection (SP)
|
100% |
4067
322.6 IPS |
|
|
Object Detection (HP)
|
100% |
815
64.6 IPS |
|
|
Object Detection (Q)
|
86% |
7768
624.3 IPS |
|
|
Face Detection (SP)
|
100% |
11760
139.7 IPS |
|
|
Face Detection (HP)
|
100% |
1984
23.6 IPS |
|
|
Face Detection (Q)
|
97% |
12454
148.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12393
95.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2501
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
20058
160.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23895
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12233
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27403
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2272
83.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6813
252.3 IPS |
|
|
Text Classification (SP)
|
100% |
1944
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1736
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2471
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3815
76.7 IPS |
