ASUS System Product Name
Geekbench AI Score
35598
Single Precision Score
52702
Half Precision Score
27305
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Pex_Water_Pipes |
| Upload Date | February 28 2026 04:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-E GAMING WIFI |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13697
2.55 KIPS |
|
|
Image Classification (HP)
|
99% |
19713
3.68 KIPS |
|
|
Image Classification (Q)
|
100% |
11945
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24780
401.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
33111
536.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
22531
366.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
266213
310.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
523998
611.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
230975
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
17030
1.35 KIPS |
|
|
Object Detection (HP)
|
100% |
24528
1.95 KIPS |
|
|
Object Detection (Q)
|
85% |
14742
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
51051
606.6 IPS |
|
|
Face Detection (HP)
|
100% |
67398
800.8 IPS |
|
|
Face Detection (Q)
|
97% |
43262
515.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
83000
639.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
155267
1.20 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63252
505.1 IPS |
|
|
Style Transfer (SP)
|
100% |
390449
501.9 IPS |
|
|
Style Transfer (HP)
|
100% |
897293
1.15 KIPS |
|
|
Style Transfer (Q)
|
98% |
339689
438.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55008
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75004
2.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42067
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3713
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
4581
6.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2282
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
6285
108.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6108
105.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2818
52.8 IPS |
