ASUS System Product Name
Geekbench AI Score
44318
Single Precision Score
66826
Half Precision Score
32387
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kanvk |
| Upload Date | May 18 2025 07:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15873
2.95 KIPS |
|
|
Image Classification (HP)
|
100% |
21122
3.93 KIPS |
|
|
Image Classification (Q)
|
100% |
13560
2.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
34346
556.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
43936
712.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
30890
502.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
369951
431.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
861587
1.01 KIPS |
|
|
Pose Estimation (Q)
|
96% |
297711
348.7 IPS |
|
|
Object Detection (SP)
|
100% |
22343
1.77 KIPS |
|
|
Object Detection (HP)
|
100% |
28709
2.28 KIPS |
|
|
Object Detection (Q)
|
85% |
18361
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
67638
803.7 IPS |
|
|
Face Detection (HP)
|
100% |
90063
1.07 KIPS |
|
|
Face Detection (Q)
|
97% |
53312
635.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
96877
746.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
179209
1.38 KIPS |
|
|
Depth Estimation (Q)
|
77% |
70521
564.8 IPS |
|
|
Style Transfer (SP)
|
100% |
541859
696.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1568692
2.02 KIPS |
|
|
Style Transfer (Q)
|
98% |
459361
592.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68339
2.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92646
3.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47568
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
3967
5.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4808
6.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2275
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
6739
116.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6861
118.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2968
55.7 IPS |
