ASUS System Product Name
Geekbench AI Score
6749
Single Precision Score
1927
Half Precision Score
10567
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | June 25 2025 12:07 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 | High performance |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5638
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
672
125.0 IPS |
|
|
Image Classification (Q)
|
99% |
8429
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2779
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5042
82.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13418
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5397
6.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
43278
50.7 IPS |
|
|
Object Detection (SP)
|
100% |
5247
416.2 IPS |
|
|
Object Detection (HP)
|
100% |
859
68.2 IPS |
|
|
Object Detection (Q)
|
86% |
9416
756.7 IPS |
|
|
Face Detection (SP)
|
100% |
15085
179.2 IPS |
|
|
Face Detection (HP)
|
100% |
2137
25.4 IPS |
|
|
Face Detection (Q)
|
97% |
14005
167.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16108
124.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2601
20.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
25580
204.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30510
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13497
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
43840
56.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4593
169.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2544
93.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6964
257.9 IPS |
|
|
Text Classification (SP)
|
100% |
1973
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
861
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2081
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2648
45.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1019
17.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4406
88.5 IPS |
