ASUS System Product Name
Geekbench AI Score
47261
Single Precision Score
70851
Half Precision Score
34118
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 08 2025 09:29 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17507
3.26 KIPS |
|
|
Image Classification (HP)
|
100% |
22814
4.24 KIPS |
|
|
Image Classification (Q)
|
100% |
14884
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
36445
590.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
46153
748.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
32606
530.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
390542
455.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
911665
1.06 KIPS |
|
|
Pose Estimation (Q)
|
96% |
301437
353.1 IPS |
|
|
Object Detection (SP)
|
100% |
22979
1.82 KIPS |
|
|
Object Detection (HP)
|
100% |
29904
2.37 KIPS |
|
|
Object Detection (Q)
|
85% |
19073
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
66983
795.9 IPS |
|
|
Face Detection (HP)
|
100% |
88371
1.05 KIPS |
|
|
Face Detection (Q)
|
97% |
54256
647.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
103152
794.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
187345
1.44 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73128
585.7 IPS |
|
|
Style Transfer (SP)
|
100% |
582670
749.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1700511
2.19 KIPS |
|
|
Style Transfer (Q)
|
98% |
492129
634.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75228
2.78 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
101255
3.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53186
1.97 KIPS |
|
|
Text Classification (SP)
|
100% |
4476
5.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5494
7.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2528
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
7163
123.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7091
122.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2918
54.7 IPS |
