ASUSTeK COMPUTER INC. ROG Flow Z13 GZ301ZE_GZ301ZE
Geekbench AI Score
8746
Single Precision Score
17973
Half Precision Score
6164
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 09:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Flow Z13 GZ301ZE_GZ301ZE |
| Motherboard | ASUSTeK COMPUTER INC. GZ301ZE |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3580
665.8 IPS |
|
|
Image Classification (HP)
|
99% |
8315
1.55 KIPS |
|
|
Image Classification (Q)
|
99% |
3041
567.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6271
101.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10738
174.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4918
80.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
30726
35.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
116594
136.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
26652
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
4440
352.2 IPS |
|
|
Object Detection (HP)
|
100% |
9470
751.2 IPS |
|
|
Object Detection (Q)
|
84% |
3611
291.3 IPS |
|
|
Face Detection (SP)
|
100% |
9665
114.8 IPS |
|
|
Face Detection (HP)
|
100% |
18630
221.4 IPS |
|
|
Face Detection (Q)
|
97% |
8021
95.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17912
138.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46166
355.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
13696
109.5 IPS |
|
|
Style Transfer (SP)
|
100% |
59836
76.9 IPS |
|
|
Style Transfer (HP)
|
100% |
190003
244.3 IPS |
|
|
Style Transfer (Q)
|
98% |
48815
62.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13509
498.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24030
887.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8140
301.4 IPS |
|
|
Text Classification (SP)
|
100% |
2085
2.78 KIPS |
|
|
Text Classification (HP)
|
99% |
2987
3.99 KIPS |
|
|
Text Classification (Q)
|
97% |
1027
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2933
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3042
52.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1229
23.0 IPS |
