ASUS System Product Name
Geekbench AI Score
4928
Single Precision Score
2090
Half Precision Score
9105
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | June 25 2025 12:23 PM |
| Views | 5 |
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, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3306
614.8 IPS |
|
|
Image Classification (HP)
|
100% |
817
151.9 IPS |
|
|
Image Classification (Q)
|
99% |
8395
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2206
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1403
22.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4069
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7645
8.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
4845
5.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
25757
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
3492
277.0 IPS |
|
|
Object Detection (HP)
|
100% |
991
78.6 IPS |
|
|
Object Detection (Q)
|
86% |
8139
654.1 IPS |
|
|
Face Detection (SP)
|
100% |
10565
125.5 IPS |
|
|
Face Detection (HP)
|
100% |
2579
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
11515
137.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9651
74.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2946
22.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
20013
159.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17938
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13401
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
33396
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3505
129.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2363
87.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6214
230.1 IPS |
|
|
Text Classification (SP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1058
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
2321
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3142
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1136
19.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4927
99.0 IPS |
