ASUSTeK COMPUTER INC. Zenbook UX6404VV_UX6404VV
Geekbench AI Score
3616
Single Precision Score
1409
Half Precision Score
6107
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JessicaAuditore |
| Upload Date | March 16 2025 05:48 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. Zenbook UX6404VV_UX6404VV |
| Motherboard | ASUSTeK COMPUTER INC. UX6404VV |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2910
541.1 IPS |
|
|
Image Classification (HP)
|
100% |
526
97.9 IPS |
|
|
Image Classification (Q)
|
99% |
5731
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
933
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3174
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6165
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
3756
4.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
19392
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
2616
207.5 IPS |
|
|
Object Detection (HP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (Q)
|
86% |
5561
447.0 IPS |
|
|
Face Detection (SP)
|
100% |
6618
78.6 IPS |
|
|
Face Detection (HP)
|
100% |
1549
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
8174
97.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7632
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1994
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
13242
105.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13907
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9433
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20649
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2470
91.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1805
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3712
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
1519
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
743
991.7 IPS |
|
|
Text Classification (Q)
|
97% |
1594
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1796
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2785
56.0 IPS |
