ASUS System Product Name
Geekbench AI Score
3703
Single Precision Score
754
Half Precision Score
4701
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | BossRreynolds |
| Upload Date | August 26 2024 09:36 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| 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% |
2118
393.8 IPS |
|
|
Image Classification (HP)
|
100% |
142
26.5 IPS |
|
|
Image Classification (Q)
|
99% |
3664
683.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1896
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
256
4.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
2795
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8137
9.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
3921
4.58 IPS |
|
|
Pose Estimation (Q)
|
95% |
25604
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
2291
181.7 IPS |
|
|
Object Detection (HP)
|
100% |
197
15.6 IPS |
|
|
Object Detection (Q)
|
88% |
2140
171.6 IPS |
|
|
Face Detection (SP)
|
100% |
4601
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
299
3.55 IPS |
|
|
Face Detection (Q)
|
97% |
5195
61.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7990
61.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
888
6.84 IPS |
|
|
Depth Estimation (Q)
|
76% |
10753
86.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17831
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9811
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29210
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3310
122.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1884
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4485
166.1 IPS |
|
|
Text Classification (SP)
|
100% |
1525
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
675
901.6 IPS |
|
|
Text Classification (Q)
|
97% |
549
734.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1958
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2339
52.2 IPS |
