Micro-Star International Co., Ltd. MS-7D86
Geekbench AI Score
5499
Single Precision Score
5555
Half Precision Score
14778
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | superben_gg |
| Upload Date | August 17 2024 03:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900K |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3691
686.3 IPS |
|
|
Image Classification (HP)
|
100% |
3690
686.3 IPS |
|
|
Image Classification (Q)
|
100% |
8940
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4452
72.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4452
72.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8430
136.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8833
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9007
10.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
31802
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
3169
251.3 IPS |
|
|
Object Detection (HP)
|
100% |
3191
253.1 IPS |
|
|
Object Detection (Q)
|
88% |
9429
755.9 IPS |
|
|
Face Detection (SP)
|
100% |
10632
126.3 IPS |
|
|
Face Detection (HP)
|
100% |
10750
127.7 IPS |
|
|
Face Detection (Q)
|
100% |
23739
282.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9751
75.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
9793
75.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
26040
206.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26539
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25899
33.3 IPS |
|
|
Style Transfer (Q)
|
98% |
84597
109.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4510
166.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4540
167.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15680
580.7 IPS |
|
|
Text Classification (SP)
|
100% |
1511
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1638
2.19 KIPS |
|
|
Text Classification (Q)
|
92% |
4598
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2933
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2926
50.4 IPS |
|
|
Machine Translation (Q)
|
85% |
5832
102.0 IPS |
