Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
5006
Single Precision Score
1724
Half Precision Score
6500
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | bearjett1 |
| Upload Date | November 21 2024 03:10 AM |
| 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 | High 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% |
2644
491.7 IPS |
|
|
Image Classification (HP)
|
100% |
582
108.3 IPS |
|
|
Image Classification (Q)
|
99% |
4717
879.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1085
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4296
69.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12350
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5292
6.17 IPS |
|
|
Pose Estimation (Q)
|
95% |
37384
43.8 IPS |
|
|
Object Detection (SP)
|
100% |
3207
254.4 IPS |
|
|
Object Detection (HP)
|
100% |
769
61.0 IPS |
|
|
Object Detection (Q)
|
88% |
2680
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
5486
65.2 IPS |
|
|
Face Detection (HP)
|
100% |
1882
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
5255
62.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11972
92.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2355
18.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
11823
94.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28028
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13319
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
31201
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4555
168.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2473
91.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6241
231.1 IPS |
|
|
Text Classification (SP)
|
100% |
1930
2.58 KIPS |
|
|
Text Classification (HP)
|
100% |
805
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1792
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2379
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3063
68.3 IPS |
