ASUS System Product Name
Geekbench AI Score
6812
Single Precision Score
2044
Half Precision Score
11757
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | W4RH34D |
| Upload Date | October 14 2025 08:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5773
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
716
133.2 IPS |
|
|
Image Classification (Q)
|
99% |
9014
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2395
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15029
244.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13444
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5700
6.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
44614
52.3 IPS |
|
|
Object Detection (SP)
|
100% |
5258
417.1 IPS |
|
|
Object Detection (HP)
|
100% |
977
77.5 IPS |
|
|
Object Detection (Q)
|
86% |
10061
808.6 IPS |
|
|
Face Detection (SP)
|
100% |
16287
193.5 IPS |
|
|
Face Detection (HP)
|
100% |
2257
26.8 IPS |
|
|
Face Detection (Q)
|
97% |
14968
178.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15842
122.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2653
20.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
23077
184.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31177
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13696
17.6 IPS |
|
|
Style Transfer (Q)
|
98% |
35442
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4875
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2616
96.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7708
285.4 IPS |
|
|
Text Classification (SP)
|
100% |
2036
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
915
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1923
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2760
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1269
21.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4577
92.0 IPS |
