ASUS System Product Name
Geekbench AI Score
45540
Single Precision Score
67842
Half Precision Score
33491
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 18 2025 09:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-E GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16443
3.06 KIPS |
|
|
Image Classification (HP)
|
100% |
21458
3.99 KIPS |
|
|
Image Classification (Q)
|
100% |
14091
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34187
554.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
42871
695.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
31019
504.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
389342
454.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
963669
1.12 KIPS |
|
|
Pose Estimation (Q)
|
96% |
317188
371.5 IPS |
|
|
Object Detection (SP)
|
100% |
22289
1.77 KIPS |
|
|
Object Detection (HP)
|
100% |
28395
2.25 KIPS |
|
|
Object Detection (Q)
|
85% |
18723
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
69382
824.4 IPS |
|
|
Face Detection (HP)
|
100% |
90168
1.07 KIPS |
|
|
Face Detection (Q)
|
97% |
54666
651.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
100133
771.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
184212
1.42 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72870
583.7 IPS |
|
|
Style Transfer (SP)
|
100% |
571917
735.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1613463
2.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
481648
621.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68307
2.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89548
3.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49980
1.85 KIPS |
|
|
Text Classification (SP)
|
100% |
4216
5.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5025
6.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2337
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
6873
118.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6804
117.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3052
57.2 IPS |
