ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G634JZR_G634JZR
Geekbench AI Score
1728
Single Precision Score
1757
Half Precision Score
1138
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vod19ka |
| Upload Date | September 03 2024 07:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G634JZR_G634JZR |
| 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% |
719
133.6 IPS |
|
|
Image Classification (HP)
|
100% |
739
137.5 IPS |
|
|
Image Classification (Q)
|
100% |
576
107.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1203
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
818
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5662
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
6141
7.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
3780
4.43 IPS |
|
|
Object Detection (SP)
|
100% |
804
63.7 IPS |
|
|
Object Detection (HP)
|
98% |
693
55.2 IPS |
|
|
Object Detection (Q)
|
89% |
664
53.2 IPS |
|
|
Face Detection (SP)
|
100% |
1521
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1641
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1082
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3142
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3461
26.7 IPS |
|
|
Depth Estimation (Q)
|
73% |
2254
18.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11420
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15530
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8517
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1883
69.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2727
100.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
977
36.2 IPS |
|
|
Text Classification (SP)
|
100% |
862
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
420
561.2 IPS |
|
|
Text Classification (Q)
|
97% |
443
593.4 IPS |
|
|
Machine Translation (SP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (Q)
|
60% |
343
7.65 IPS |
