ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G634JZR_G634JZR
Geekbench AI Score
1763
Single Precision Score
1812
Half Precision Score
1201
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dgbrownnt |
| Upload Date | February 04 2025 07:35 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
761
141.5 IPS |
|
|
Image Classification (HP)
|
100% |
781
145.3 IPS |
|
|
Image Classification (Q)
|
100% |
655
121.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1067
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1205
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
818
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5606
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
6087
7.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
3736
4.38 IPS |
|
|
Object Detection (SP)
|
100% |
849
67.3 IPS |
|
|
Object Detection (HP)
|
98% |
741
59.0 IPS |
|
|
Object Detection (Q)
|
86% |
716
57.6 IPS |
|
|
Face Detection (SP)
|
100% |
1734
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
1900
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
1290
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3244
25.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3630
28.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2392
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11347
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15356
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
8412
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1865
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2687
99.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
972
36.0 IPS |
|
|
Text Classification (SP)
|
100% |
852
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
439
585.8 IPS |
|
|
Text Classification (Q)
|
97% |
434
581.5 IPS |
|
|
Machine Translation (SP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
70% |
398
7.46 IPS |
