Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
3224
Single Precision Score
1380
Half Precision Score
5742
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 14 2025 06:00 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-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A WIFI (MS-7D99) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2593
482.2 IPS |
|
|
Image Classification (HP)
|
100% |
534
99.4 IPS |
|
|
Image Classification (Q)
|
99% |
5050
942.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1488
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2809
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5388
6.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3932
4.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
19007
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2340
185.6 IPS |
|
|
Object Detection (HP)
|
100% |
633
50.2 IPS |
|
|
Object Detection (Q)
|
86% |
5341
429.2 IPS |
|
|
Face Detection (SP)
|
100% |
5084
60.4 IPS |
|
|
Face Detection (HP)
|
100% |
1488
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
7788
92.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7096
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1924
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12627
100.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12684
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9417
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
17524
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2340
86.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1775
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3817
141.4 IPS |
|
|
Text Classification (SP)
|
100% |
1449
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
649
866.7 IPS |
|
|
Text Classification (Q)
|
97% |
1592
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2585
51.9 IPS |
