Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
3446
Single Precision Score
1451
Half Precision Score
6003
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 08:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D90 |
| Motherboard | Micro-Star International Co., Ltd. B760M BOMBER WIFI (MS-7D90) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2646
492.1 IPS |
|
|
Image Classification (HP)
|
100% |
550
102.4 IPS |
|
|
Image Classification (Q)
|
99% |
4935
920.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2920
47.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5549
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
4030
4.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
19421
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
2565
203.4 IPS |
|
|
Object Detection (HP)
|
100% |
674
53.4 IPS |
|
|
Object Detection (Q)
|
86% |
5671
455.8 IPS |
|
|
Face Detection (SP)
|
100% |
6724
79.9 IPS |
|
|
Face Detection (HP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
8165
97.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7155
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1974
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12627
100.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13322
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9803
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
22462
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2402
88.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1868
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3792
140.4 IPS |
|
|
Text Classification (SP)
|
100% |
1474
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
703
938.6 IPS |
|
|
Text Classification (Q)
|
97% |
1580
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1755
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2763
55.5 IPS |
