ASUS System Product Name
Geekbench AI Score
6060
Single Precision Score
6068
Half Precision Score
15474
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | inseul |
| Upload Date | November 09 2024 09:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z890-CREATOR WIFI |
| 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 | 3.88 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4050
753.1 IPS |
|
|
Image Classification (HP)
|
100% |
4326
804.5 IPS |
|
|
Image Classification (Q)
|
100% |
9785
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4414
71.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4395
71.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9858
159.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8300
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
8205
9.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
31829
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
3990
316.5 IPS |
|
|
Object Detection (HP)
|
100% |
3932
311.9 IPS |
|
|
Object Detection (Q)
|
88% |
10287
824.6 IPS |
|
|
Face Detection (SP)
|
100% |
12143
144.3 IPS |
|
|
Face Detection (HP)
|
100% |
12021
142.8 IPS |
|
|
Face Detection (Q)
|
100% |
27600
327.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10728
82.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10579
81.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
27986
217.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24574
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24482
31.5 IPS |
|
|
Style Transfer (Q)
|
98% |
90031
116.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5117
189.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5144
189.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16627
615.8 IPS |
|
|
Text Classification (SP)
|
100% |
1537
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1534
2.05 KIPS |
|
|
Text Classification (Q)
|
92% |
4707
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4488
77.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4494
77.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4579
78.9 IPS |
