ASUS System Product Name
Geekbench AI Score
6591
Single Precision Score
2009
Half Precision Score
8717
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | December 22 2024 09:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | Prestazioni elevate |
| 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% |
5395
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
691
128.5 IPS |
|
|
Image Classification (Q)
|
99% |
8049
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2775
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4307
70.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13156
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5542
6.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
40455
47.4 IPS |
|
|
Object Detection (SP)
|
100% |
5027
398.7 IPS |
|
|
Object Detection (HP)
|
100% |
905
71.8 IPS |
|
|
Object Detection (Q)
|
86% |
7487
601.7 IPS |
|
|
Face Detection (SP)
|
100% |
14733
175.1 IPS |
|
|
Face Detection (HP)
|
100% |
2403
28.6 IPS |
|
|
Face Detection (Q)
|
97% |
13189
157.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15455
119.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2614
20.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
24325
194.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29645
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14003
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
40983
52.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4570
168.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2598
95.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6740
249.6 IPS |
|
|
Text Classification (SP)
|
100% |
1983
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
969
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
716
959.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2558
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1032
17.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3806
76.5 IPS |
