ASUS System Product Name
Geekbench AI Score
39488
Single Precision Score
58837
Half Precision Score
29209
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | alexb |
| Upload Date | August 20 2025 08:29 AM |
| Views | 11 |
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-I GAMING WIFI |
| Power Plan | High performance |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13358
2.48 KIPS |
|
|
Image Classification (HP)
|
100% |
18152
3.38 KIPS |
|
|
Image Classification (Q)
|
100% |
11688
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29879
484.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
38198
619.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
27602
448.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
354852
414.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
854440
997.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
278970
326.8 IPS |
|
|
Object Detection (SP)
|
100% |
19930
1.58 KIPS |
|
|
Object Detection (HP)
|
100% |
24226
1.92 KIPS |
|
|
Object Detection (Q)
|
85% |
16127
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
57305
680.9 IPS |
|
|
Face Detection (HP)
|
100% |
75230
893.9 IPS |
|
|
Face Detection (Q)
|
97% |
49338
588.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
94170
725.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
168342
1.30 KIPS |
|
|
Depth Estimation (Q)
|
77% |
67929
544.1 IPS |
|
|
Style Transfer (SP)
|
100% |
531849
683.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1408344
1.81 KIPS |
|
|
Style Transfer (Q)
|
98% |
450099
580.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61586
2.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80115
2.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46251
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4482
5.98 KIPS |
|
|
Text Classification (Q)
|
97% |
1977
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5377
92.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5409
93.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2258
42.3 IPS |
