ASUS System Product Name
Geekbench AI Score
5553
Single Precision Score
1808
Half Precision Score
6449
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | November 22 2024 08:33 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% |
3027
563.0 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.5 IPS |
|
|
Image Classification (Q)
|
99% |
5109
953.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2156
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1208
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4342
70.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13216
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5415
6.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
40459
47.4 IPS |
|
|
Object Detection (SP)
|
100% |
3905
309.8 IPS |
|
|
Object Detection (HP)
|
100% |
755
59.9 IPS |
|
|
Object Detection (Q)
|
88% |
3026
242.5 IPS |
|
|
Face Detection (SP)
|
100% |
7500
89.1 IPS |
|
|
Face Detection (HP)
|
100% |
1986
23.6 IPS |
|
|
Face Detection (Q)
|
97% |
6920
82.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13021
100.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2516
19.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
14371
115.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31789
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14032
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
34460
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4871
179.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2621
96.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6021
222.9 IPS |
|
|
Text Classification (SP)
|
100% |
2142
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
875
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
670
896.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2556
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (Q)
|
60% |
3315
73.9 IPS |
