Micro-Star International Co., Ltd. MS-7D90
Geekbench AI Score
3564
Single Precision Score
1509
Half Precision Score
4369
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Kunal_123 |
| Upload Date | October 12 2024 08:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600K |
| 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 GAMING WIFI (MS-7D90) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2058
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
553
102.8 IPS |
|
|
Image Classification (Q)
|
99% |
3872
722.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1944
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1003
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3101
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7005
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
4380
5.11 IPS |
|
|
Pose Estimation (Q)
|
95% |
23371
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
2255
178.9 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (Q)
|
88% |
2108
169.0 IPS |
|
|
Face Detection (SP)
|
100% |
3416
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
1570
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
4110
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7786
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2120
16.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
8209
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16483
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10850
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20239
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2991
110.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2149
79.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4511
167.0 IPS |
|
|
Text Classification (SP)
|
100% |
1882
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
704
939.8 IPS |
|
|
Text Classification (Q)
|
97% |
592
793.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2126
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
699
12.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2353
52.5 IPS |
