ASUS System Product Name
Geekbench AI Score
6016
Single Precision Score
1836
Half Precision Score
7713
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | February 08 2025 03:27 PM |
| Views | 11 |
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% |
4759
885.1 IPS |
|
|
Image Classification (HP)
|
100% |
631
117.3 IPS |
|
|
Image Classification (Q)
|
99% |
7440
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2681
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4212
68.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11760
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5503
6.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
36999
43.4 IPS |
|
|
Object Detection (SP)
|
100% |
4743
376.2 IPS |
|
|
Object Detection (HP)
|
100% |
916
72.6 IPS |
|
|
Object Detection (Q)
|
86% |
7327
588.8 IPS |
|
|
Face Detection (SP)
|
100% |
13365
158.8 IPS |
|
|
Face Detection (HP)
|
100% |
1916
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
11409
136.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13450
103.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2368
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
22281
177.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26498
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13739
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
37908
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3833
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2536
93.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4848
179.5 IPS |
|
|
Text Classification (SP)
|
100% |
1855
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
578
773.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2577
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
877
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3252
65.4 IPS |
