ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR
Geekbench AI Score
5375
Single Precision Score
1589
Half Precision Score
7922
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | March 16 2025 12:04 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR |
| Motherboard | ASUSTeK COMPUTER INC. G634JZR |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4413
820.8 IPS |
|
|
Image Classification (HP)
|
100% |
532
99.0 IPS |
|
|
Image Classification (Q)
|
99% |
6786
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
993
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3861
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11252
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
4755
5.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
33033
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
3948
313.2 IPS |
|
|
Object Detection (HP)
|
100% |
707
56.1 IPS |
|
|
Object Detection (Q)
|
86% |
7456
599.2 IPS |
|
|
Face Detection (SP)
|
100% |
10841
128.8 IPS |
|
|
Face Detection (HP)
|
100% |
1762
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
10989
131.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12566
96.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2104
16.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
17888
142.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24708
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11822
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25710
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3819
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2230
82.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4930
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
1825
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1722
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2069
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3518
70.7 IPS |
