ASUS System Product Name
Geekbench AI Score
8434
Single Precision Score
9124
Half Precision Score
13452
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 25 2024 09:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
6055
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6410
1.19 KIPS |
|
|
Image Classification (Q)
|
56% |
5897
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6573
106.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2667
43.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3528
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15300
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
33246
38.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
71880
84.2 IPS |
|
|
Object Detection (SP)
|
100% |
5656
448.7 IPS |
|
|
Object Detection (HP)
|
100% |
4947
392.4 IPS |
|
|
Object Detection (Q)
|
87% |
8995
721.9 IPS |
|
|
Face Detection (SP)
|
100% |
16251
193.1 IPS |
|
|
Face Detection (HP)
|
100% |
15504
184.2 IPS |
|
|
Face Detection (Q)
|
100% |
25586
304.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15591
120.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18873
145.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
33802
263.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43638
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
51244
65.9 IPS |
|
|
Style Transfer (Q)
|
98% |
93718
120.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9381
346.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13889
512.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24757
916.8 IPS |
|
|
Text Classification (SP)
|
100% |
1978
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2113
2.82 KIPS |
|
|
Text Classification (Q)
|
92% |
2155
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2580
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3234
55.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3336
57.5 IPS |
