ASUS System Product Name
Geekbench AI Score
6956
Single Precision Score
2088
Half Precision Score
12289
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Kos72 |
| Upload Date | March 01 2026 08:46 PM |
| Views | 12 |
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 |
| 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% |
5945
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
735
136.8 IPS |
|
|
Image Classification (Q)
|
99% |
8785
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2835
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1437
23.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
16787
273.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13642
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5611
6.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
44376
52.0 IPS |
|
|
Object Detection (SP)
|
100% |
5525
438.3 IPS |
|
|
Object Detection (HP)
|
100% |
1031
81.8 IPS |
|
|
Object Detection (Q)
|
86% |
10051
807.8 IPS |
|
|
Face Detection (SP)
|
100% |
17120
203.4 IPS |
|
|
Face Detection (HP)
|
100% |
2232
26.5 IPS |
|
|
Face Detection (Q)
|
97% |
15059
179.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16245
125.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2743
21.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
26186
209.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31008
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13604
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
45394
58.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4521
166.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2588
95.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7705
285.3 IPS |
|
|
Text Classification (SP)
|
100% |
2002
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
904
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1887
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2675
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1329
22.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4592
92.3 IPS |
