ASUS System Product Name
Geekbench AI Score
6843
Single Precision Score
6843
Half Precision Score
12901
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Alex_TOPMAN |
| Upload Date | September 21 2024 06:59 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX |
| 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% |
4388
816.1 IPS |
|
|
Image Classification (HP)
|
100% |
4524
841.4 IPS |
|
|
Image Classification (Q)
|
100% |
6645
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5613
91.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4899
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5097
82.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12102
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12123
14.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
19534
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
2571
203.9 IPS |
|
|
Object Detection (HP)
|
100% |
2712
215.1 IPS |
|
|
Object Detection (Q)
|
88% |
6398
512.9 IPS |
|
|
Face Detection (SP)
|
100% |
13637
162.0 IPS |
|
|
Face Detection (HP)
|
100% |
13630
162.0 IPS |
|
|
Face Detection (Q)
|
100% |
28910
343.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13121
101.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13121
101.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
31932
248.3 IPS |
|
|
Style Transfer (SP)
|
100% |
39852
51.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40222
51.7 IPS |
|
|
Style Transfer (Q)
|
98% |
103925
134.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6227
229.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6229
230.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19176
710.1 IPS |
|
|
Text Classification (SP)
|
100% |
1921
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2021
2.70 KIPS |
|
|
Text Classification (Q)
|
92% |
4854
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3449
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3381
58.2 IPS |
