ASUS System Product Name
Geekbench AI Score
8384
Single Precision Score
7451
Half Precision Score
11040
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | October 16 2024 06:51 PM |
| 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 | Dengeli |
| 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% |
6149
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
5095
947.5 IPS |
|
|
Image Classification (Q)
|
56% |
5531
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5763
93.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2320
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2480
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15531
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32470
37.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
66158
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
5659
448.9 IPS |
|
|
Object Detection (HP)
|
100% |
3671
291.2 IPS |
|
|
Object Detection (Q)
|
87% |
7184
576.6 IPS |
|
|
Face Detection (SP)
|
100% |
17421
207.0 IPS |
|
|
Face Detection (HP)
|
100% |
9649
114.6 IPS |
|
|
Face Detection (Q)
|
100% |
16120
191.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16662
128.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17448
134.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
33299
259.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42764
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
52171
67.1 IPS |
|
|
Style Transfer (Q)
|
98% |
89229
115.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9283
342.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12304
454.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20520
759.9 IPS |
|
|
Text Classification (SP)
|
100% |
2054
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1956
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
1815
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2330
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1771
30.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2314
39.9 IPS |
