ASUS System Product Name
Geekbench AI Score
8071
Single Precision Score
2809
Half Precision Score
10497
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | O-EtaIXVII |
| Upload Date | December 22 2024 07:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5947
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
935
173.9 IPS |
|
|
Image Classification (Q)
|
99% |
10333
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3321
53.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4904
79.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18139
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9441
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
60992
71.5 IPS |
|
|
Object Detection (SP)
|
100% |
6048
479.7 IPS |
|
|
Object Detection (HP)
|
100% |
1242
98.5 IPS |
|
|
Object Detection (Q)
|
86% |
11014
885.1 IPS |
|
|
Face Detection (SP)
|
100% |
16605
197.3 IPS |
|
|
Face Detection (HP)
|
100% |
2956
35.1 IPS |
|
|
Face Detection (Q)
|
97% |
14729
175.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19763
152.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3727
28.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
29513
235.5 IPS |
|
|
Style Transfer (SP)
|
100% |
41132
52.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24278
31.2 IPS |
|
|
Style Transfer (Q)
|
98% |
45342
58.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6334
233.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4137
152.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7629
282.5 IPS |
|
|
Text Classification (SP)
|
100% |
2080
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1117
1.49 KIPS |
|
|
Text Classification (Q)
|
97% |
776
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3046
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4093
82.2 IPS |
