ASUS System Product Name
Geekbench AI Score
6227
Single Precision Score
2456
Half Precision Score
7441
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 12:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 HERO |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3282
610.3 IPS |
|
|
Image Classification (HP)
|
100% |
792
147.3 IPS |
|
|
Image Classification (Q)
|
99% |
5628
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2749
44.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4638
75.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16902
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8190
9.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
52094
61.1 IPS |
|
|
Object Detection (SP)
|
100% |
3906
309.8 IPS |
|
|
Object Detection (HP)
|
100% |
1052
83.4 IPS |
|
|
Object Detection (Q)
|
88% |
3294
264.1 IPS |
|
|
Face Detection (SP)
|
100% |
6657
79.1 IPS |
|
|
Face Detection (HP)
|
100% |
2449
29.1 IPS |
|
|
Face Detection (Q)
|
97% |
6676
79.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14646
112.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3453
26.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
13065
104.6 IPS |
|
|
Style Transfer (SP)
|
100% |
37801
48.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21555
27.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31293
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6051
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3842
141.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7420
274.7 IPS |
|
|
Text Classification (SP)
|
100% |
2060
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
956
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1870
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3204
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (Q)
|
60% |
3071
68.5 IPS |
