ASUSTeK COMPUTER INC. Zenbook UX6404VV_UX6404VV
Geekbench AI Score
15690
Single Precision Score
26233
Half Precision Score
12421
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JessicaAuditore |
| Upload Date | March 16 2025 05:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| 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% |
6468
1.20 KIPS |
|
|
Image Classification (HP)
|
99% |
10833
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
5839
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10354
167.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13556
219.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9545
155.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
74815
87.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
216044
252.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
66820
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
7948
630.4 IPS |
|
|
Object Detection (HP)
|
100% |
14735
1.17 KIPS |
|
|
Object Detection (Q)
|
84% |
7116
573.9 IPS |
|
|
Face Detection (SP)
|
100% |
18937
225.0 IPS |
|
|
Face Detection (HP)
|
100% |
28456
338.1 IPS |
|
|
Face Detection (Q)
|
97% |
16566
197.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
36571
281.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
72104
555.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
31873
255.0 IPS |
|
|
Style Transfer (SP)
|
100% |
129549
166.5 IPS |
|
|
Style Transfer (HP)
|
100% |
316952
407.4 IPS |
|
|
Style Transfer (Q)
|
98% |
115006
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25605
945.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42818
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19594
725.5 IPS |
|
|
Text Classification (SP)
|
100% |
3007
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3605
4.81 KIPS |
|
|
Text Classification (Q)
|
97% |
1740
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3287
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3289
56.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1594
29.9 IPS |
