ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR
Geekbench AI Score
5174
Single Precision Score
1501
Half Precision Score
7647
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | May 01 2025 01:06 PM |
| Views | 5 |
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% |
4227
786.2 IPS |
|
|
Image Classification (HP)
|
100% |
516
96.0 IPS |
|
|
Image Classification (Q)
|
99% |
6524
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1896
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
952
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3561
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10807
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
4405
5.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
31711
37.2 IPS |
|
|
Object Detection (SP)
|
100% |
3990
316.5 IPS |
|
|
Object Detection (HP)
|
100% |
668
53.0 IPS |
|
|
Object Detection (Q)
|
86% |
6988
561.6 IPS |
|
|
Face Detection (SP)
|
100% |
10927
129.8 IPS |
|
|
Face Detection (HP)
|
100% |
1652
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
10920
130.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12261
94.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2006
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17759
141.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23762
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11027
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25535
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3855
142.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2068
76.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5325
197.2 IPS |
|
|
Text Classification (SP)
|
100% |
1650
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
699
933.4 IPS |
|
|
Text Classification (Q)
|
97% |
1532
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1966
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3289
66.1 IPS |
