ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G634JZR_G634JZR
Geekbench AI Score
4448
Single Precision Score
1423
Half Precision Score
5902
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dgbrownnt |
| Upload Date | February 04 2025 07:37 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G634JZR_G634JZR |
| Motherboard | ASUSTeK COMPUTER INC. G634JZR |
| Power Plan | Performance |
| 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% |
3270
608.1 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.6 IPS |
|
|
Image Classification (Q)
|
99% |
5708
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1724
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
963
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3078
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9389
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
4073
4.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
27071
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
3183
252.5 IPS |
|
|
Object Detection (HP)
|
100% |
627
49.7 IPS |
|
|
Object Detection (Q)
|
86% |
5190
417.1 IPS |
|
|
Face Detection (SP)
|
100% |
9166
108.9 IPS |
|
|
Face Detection (HP)
|
100% |
1596
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
8951
106.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10174
78.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1910
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14802
118.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19858
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10128
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22921
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3463
127.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1897
70.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4798
177.7 IPS |
|
|
Text Classification (SP)
|
100% |
1500
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
655
874.8 IPS |
|
|
Text Classification (Q)
|
97% |
541
725.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1872
32.2 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2638
53.0 IPS |
