ASUS System Product Name
Geekbench AI Score
6749
Single Precision Score
1935
Half Precision Score
10514
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | June 25 2025 12:10 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% |
5608
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
672
125.0 IPS |
|
|
Image Classification (Q)
|
99% |
8461
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2637
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5076
82.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13471
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5457
6.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
44336
52.0 IPS |
|
|
Object Detection (SP)
|
100% |
5080
402.9 IPS |
|
|
Object Detection (HP)
|
100% |
887
70.3 IPS |
|
|
Object Detection (Q)
|
86% |
9558
768.1 IPS |
|
|
Face Detection (SP)
|
100% |
15286
181.6 IPS |
|
|
Face Detection (HP)
|
100% |
2174
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
14305
170.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16294
125.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2620
20.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
24979
199.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30836
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13306
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
39616
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4690
173.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2542
93.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6930
256.6 IPS |
|
|
Text Classification (SP)
|
100% |
2100
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
895
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2094
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2563
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4416
88.7 IPS |
