Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
3076
Single Precision Score
740
Half Precision Score
3788
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 01:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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 | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1812
337.1 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.4 IPS |
|
|
Image Classification (Q)
|
99% |
3357
626.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
251
4.07 IPS |
|
|
Image Segmentation (Q)
|
98% |
2635
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6370
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
4029
4.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
20752
24.3 IPS |
|
|
Object Detection (SP)
|
100% |
2033
161.3 IPS |
|
|
Object Detection (HP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (Q)
|
88% |
1891
151.6 IPS |
|
|
Face Detection (SP)
|
100% |
2783
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
292
3.46 IPS |
|
|
Face Detection (Q)
|
97% |
3542
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7086
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
929
7.15 IPS |
|
|
Depth Estimation (Q)
|
76% |
7875
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14989
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10021
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17761
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2785
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1928
71.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4017
148.7 IPS |
|
|
Text Classification (SP)
|
100% |
1617
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
575
766.9 IPS |
|
|
Text Classification (Q)
|
97% |
470
629.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1646
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1875
41.8 IPS |
