ASUSTeK COMPUTER INC. ROG Strix G533ZW_G533ZW
Geekbench AI Score
17009
Single Precision Score
27712
Half Precision Score
10920
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 04 2025 07:09 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G533ZW_G533ZW |
| Motherboard | ASUSTeK COMPUTER INC. G533ZW |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6542
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
10299
1.92 KIPS |
|
|
Image Classification (Q)
|
100% |
4482
833.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
11487
186.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16464
266.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9073
147.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
88493
103.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
262007
305.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
72650
85.1 IPS |
|
|
Object Detection (SP)
|
100% |
8497
674.0 IPS |
|
|
Object Detection (HP)
|
100% |
14056
1.11 KIPS |
|
|
Object Detection (Q)
|
85% |
6547
527.1 IPS |
|
|
Face Detection (SP)
|
100% |
21025
249.8 IPS |
|
|
Face Detection (HP)
|
100% |
32295
383.7 IPS |
|
|
Face Detection (Q)
|
97% |
15977
190.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
42358
326.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78510
604.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
28312
226.8 IPS |
|
|
Style Transfer (SP)
|
100% |
158829
204.2 IPS |
|
|
Style Transfer (HP)
|
100% |
393801
506.2 IPS |
|
|
Style Transfer (Q)
|
98% |
117775
151.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27942
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38883
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16102
596.2 IPS |
|
|
Text Classification (SP)
|
100% |
2728
3.64 KIPS |
|
|
Text Classification (HP)
|
99% |
3409
4.55 KIPS |
|
|
Text Classification (Q)
|
97% |
1185
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3327
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3232
55.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1227
23.0 IPS |
