ASUS System Product Name
Geekbench AI Score
8202
Single Precision Score
9749
Half Precision Score
14027
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mnin |
| Upload Date | December 08 2024 08:04 PM |
| Views | 1 |
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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4966
923.5 IPS |
|
|
Image Classification (HP)
|
100% |
6816
1.27 KIPS |
|
|
Image Classification (Q)
|
56% |
6285
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7163
116.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2838
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3750
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13414
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
34358
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
74201
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
4368
346.4 IPS |
|
|
Object Detection (HP)
|
100% |
5889
467.1 IPS |
|
|
Object Detection (Q)
|
87% |
9234
741.1 IPS |
|
|
Face Detection (SP)
|
100% |
13689
162.7 IPS |
|
|
Face Detection (HP)
|
100% |
16301
193.7 IPS |
|
|
Face Detection (Q)
|
100% |
26321
312.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13674
105.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19313
148.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
35866
279.1 IPS |
|
|
Style Transfer (SP)
|
100% |
39316
50.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54780
70.4 IPS |
|
|
Style Transfer (Q)
|
98% |
100363
129.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7143
263.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13962
515.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22760
842.9 IPS |
|
|
Text Classification (SP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (HP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (Q)
|
92% |
2366
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3544
61.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3580
61.7 IPS |
