Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
3340
Single Precision Score
1400
Half Precision Score
5830
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 05:49 AM |
| Views | 2 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2644
491.7 IPS |
|
|
Image Classification (HP)
|
100% |
498
92.6 IPS |
|
|
Image Classification (Q)
|
99% |
4846
903.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
934
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2876
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5369
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3987
4.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
18766
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
672
53.3 IPS |
|
|
Object Detection (Q)
|
86% |
5264
423.1 IPS |
|
|
Face Detection (SP)
|
100% |
6335
75.3 IPS |
|
|
Face Detection (HP)
|
100% |
1535
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
7875
93.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7085
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1925
14.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12896
102.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12769
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9474
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20900
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2378
87.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1811
66.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3726
138.0 IPS |
|
|
Text Classification (SP)
|
100% |
1391
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
717
956.7 IPS |
|
|
Text Classification (Q)
|
97% |
1573
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2653
53.3 IPS |
