ASUS System Product Name
Geekbench AI Score
9836
Single Precision Score
9836
Half Precision Score
14233
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Wilhelm |
| Upload Date | November 20 2024 09:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-E GAMING WIFI |
| Power Plan | Hchstleistung |
| 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% |
7162
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7160
1.33 KIPS |
|
|
Image Classification (Q)
|
56% |
6597
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2810
45.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2824
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3714
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
34244
40.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
34211
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
74540
87.3 IPS |
|
|
Object Detection (SP)
|
98% |
5734
456.2 IPS |
|
|
Object Detection (HP)
|
100% |
5772
457.8 IPS |
|
|
Object Detection (Q)
|
87% |
9650
774.5 IPS |
|
|
Face Detection (SP)
|
100% |
16426
195.2 IPS |
|
|
Face Detection (HP)
|
100% |
16312
193.8 IPS |
|
|
Face Detection (Q)
|
100% |
26961
320.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
19451
149.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19287
148.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
34320
271.9 IPS |
|
|
Style Transfer (SP)
|
100% |
53724
69.1 IPS |
|
|
Style Transfer (HP)
|
100% |
53954
69.4 IPS |
|
|
Style Transfer (Q)
|
98% |
99499
128.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14717
543.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14710
543.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26610
985.5 IPS |
|
|
Text Classification (SP)
|
100% |
2348
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (Q)
|
92% |
2391
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3618
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3607
62.1 IPS |
|
|
Machine Translation (Q)
|
90% |
3306
57.4 IPS |
