ASUS System Product Name
Geekbench AI Score
47185
Single Precision Score
70995
Half Precision Score
33743
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 12 2025 03:40 AM |
| Views | 5 |
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. TUF GAMING Z790-PRO WIFI |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17801
3.31 KIPS |
|
|
Image Classification (HP)
|
100% |
23079
4.29 KIPS |
|
|
Image Classification (Q)
|
100% |
14866
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35575
576.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
44706
724.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
31900
518.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
379853
443.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
920923
1.07 KIPS |
|
|
Pose Estimation (Q)
|
96% |
306292
358.8 IPS |
|
|
Object Detection (SP)
|
100% |
23280
1.85 KIPS |
|
|
Object Detection (HP)
|
100% |
29722
2.36 KIPS |
|
|
Object Detection (Q)
|
85% |
19100
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
67216
798.7 IPS |
|
|
Face Detection (HP)
|
100% |
87168
1.04 KIPS |
|
|
Face Detection (Q)
|
97% |
52782
629.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
102154
787.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
191212
1.47 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72691
582.2 IPS |
|
|
Style Transfer (SP)
|
100% |
572713
736.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1696321
2.18 KIPS |
|
|
Style Transfer (Q)
|
98% |
477100
615.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
76179
2.81 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
101086
3.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52837
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
4618
6.16 KIPS |
|
|
Text Classification (HP)
|
100% |
5725
7.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2540
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
7063
121.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7040
121.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2808
52.7 IPS |
