ASUS System Product Name
Geekbench AI Score
5835
Single Precision Score
2008
Half Precision Score
6658
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | November 20 2024 09:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
3355
623.9 IPS |
|
|
Image Classification (HP)
|
100% |
722
134.3 IPS |
|
|
Image Classification (Q)
|
99% |
5152
960.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2777
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1377
22.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4411
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13217
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5581
6.51 IPS |
|
|
Pose Estimation (Q)
|
95% |
41196
48.3 IPS |
|
|
Object Detection (SP)
|
100% |
3897
309.1 IPS |
|
|
Object Detection (HP)
|
100% |
937
74.3 IPS |
|
|
Object Detection (Q)
|
88% |
3101
248.6 IPS |
|
|
Face Detection (SP)
|
100% |
7066
84.0 IPS |
|
|
Face Detection (HP)
|
100% |
2469
29.3 IPS |
|
|
Face Detection (Q)
|
97% |
7186
85.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13850
106.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2566
19.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
13663
109.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30706
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14056
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
39091
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5248
193.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2758
101.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6757
250.2 IPS |
|
|
Text Classification (SP)
|
100% |
2193
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
933
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
715
958.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2760
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
899
15.5 IPS |
|
|
Machine Translation (Q)
|
60% |
3182
71.0 IPS |
