Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
4983
Single Precision Score
1682
Half Precision Score
6529
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | bearjett1 |
| Upload Date | December 08 2024 05:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D86 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z790 ACE (MS-7D86) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2663
495.3 IPS |
|
|
Image Classification (HP)
|
100% |
573
106.6 IPS |
|
|
Image Classification (Q)
|
99% |
4672
871.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1116
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4257
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12143
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5196
6.06 IPS |
|
|
Pose Estimation (Q)
|
95% |
39182
45.9 IPS |
|
|
Object Detection (SP)
|
100% |
3292
261.1 IPS |
|
|
Object Detection (HP)
|
100% |
733
58.1 IPS |
|
|
Object Detection (Q)
|
88% |
2579
206.7 IPS |
|
|
Face Detection (SP)
|
100% |
5677
67.5 IPS |
|
|
Face Detection (HP)
|
100% |
1822
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
5809
69.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11878
91.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2307
17.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
11953
95.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28354
36.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12899
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
33318
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4364
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2509
92.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5363
198.6 IPS |
|
|
Text Classification (SP)
|
100% |
1847
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1861
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2347
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3037
67.7 IPS |
