ASUS System Product Name
Geekbench AI Score
5776
Single Precision Score
5781
Half Precision Score
14293
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | inseul |
| Upload Date | November 09 2024 03:11 PM |
| Views | 6 |
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 | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4182
777.8 IPS |
|
|
Image Classification (HP)
|
100% |
4238
788.1 IPS |
|
|
Image Classification (Q)
|
100% |
9522
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3884
63.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3941
63.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7380
119.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8298
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
8182
9.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
32280
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
4056
321.7 IPS |
|
|
Object Detection (HP)
|
100% |
3952
313.4 IPS |
|
|
Object Detection (Q)
|
88% |
10383
832.3 IPS |
|
|
Face Detection (SP)
|
100% |
12296
146.1 IPS |
|
|
Face Detection (HP)
|
100% |
12074
143.5 IPS |
|
|
Face Detection (Q)
|
100% |
26621
316.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10805
83.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10873
83.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
28635
222.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24709
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24395
31.4 IPS |
|
|
Style Transfer (Q)
|
98% |
89700
115.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5226
193.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5218
192.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16664
617.1 IPS |
|
|
Text Classification (SP)
|
100% |
1577
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1581
2.11 KIPS |
|
|
Text Classification (Q)
|
92% |
4679
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2796
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2926
50.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2834
48.8 IPS |
