ASUS System Product Name
Geekbench AI Score
9847
Single Precision Score
9856
Half Precision Score
14226
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 12:56 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 STRIX Z890-F GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7034
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
7067
1.31 KIPS |
|
|
Image Classification (Q)
|
56% |
6472
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2845
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2848
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3741
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
34265
40.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
34370
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
75059
87.9 IPS |
|
|
Object Detection (SP)
|
98% |
5728
455.8 IPS |
|
|
Object Detection (HP)
|
100% |
5776
458.1 IPS |
|
|
Object Detection (Q)
|
87% |
9513
763.5 IPS |
|
|
Face Detection (SP)
|
100% |
16076
191.0 IPS |
|
|
Face Detection (HP)
|
100% |
16263
193.2 IPS |
|
|
Face Detection (Q)
|
100% |
26761
318.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
19848
152.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19877
153.1 IPS |
|
|
Depth Estimation (Q)
|
80% |
35671
282.6 IPS |
|
|
Style Transfer (SP)
|
100% |
55128
70.9 IPS |
|
|
Style Transfer (HP)
|
100% |
55040
70.8 IPS |
|
|
Style Transfer (Q)
|
98% |
101239
130.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14504
535.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14531
536.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26670
987.7 IPS |
|
|
Text Classification (SP)
|
100% |
2389
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2384
3.18 KIPS |
|
|
Text Classification (Q)
|
92% |
2404
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3582
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3515
60.6 IPS |
|
|
Machine Translation (Q)
|
90% |
3171
55.1 IPS |
