ASUS System Product Name
Geekbench AI Score
7604
Single Precision Score
2597
Half Precision Score
10072
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 27 2025 11:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-E GAMING WIFI |
| Power Plan | Equilibrado |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5867
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
860
159.8 IPS |
|
|
Image Classification (Q)
|
99% |
9881
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3177
51.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5502
89.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17019
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8749
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
55262
64.8 IPS |
|
|
Object Detection (SP)
|
100% |
5402
428.5 IPS |
|
|
Object Detection (HP)
|
100% |
1055
83.7 IPS |
|
|
Object Detection (Q)
|
86% |
10760
864.8 IPS |
|
|
Face Detection (SP)
|
100% |
16032
190.5 IPS |
|
|
Face Detection (HP)
|
100% |
2597
30.9 IPS |
|
|
Face Detection (Q)
|
97% |
14107
168.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18658
143.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3663
28.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
29382
234.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38684
49.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22239
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
38720
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5407
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4011
148.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7218
267.3 IPS |
|
|
Text Classification (SP)
|
100% |
1967
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1082
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
723
968.7 IPS |
|
|
Machine Translation (SP)
|
100% |
3066
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3972
79.8 IPS |
