ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR
Geekbench AI Score
5484
Single Precision Score
1608
Half Precision Score
7977
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | February 28 2025 02:32 PM |
| Views | 12 |
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% |
4376
813.8 IPS |
|
|
Image Classification (HP)
|
100% |
548
101.9 IPS |
|
|
Image Classification (Q)
|
99% |
6858
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1102
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3580
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11412
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4737
5.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
33866
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
4215
334.4 IPS |
|
|
Object Detection (HP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (Q)
|
86% |
7620
612.4 IPS |
|
|
Face Detection (SP)
|
100% |
11517
136.8 IPS |
|
|
Face Detection (HP)
|
100% |
1694
20.1 IPS |
|
|
Face Detection (Q)
|
97% |
11213
133.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12838
98.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2114
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
17471
139.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24824
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11905
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27400
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4032
148.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2219
81.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5209
192.9 IPS |
|
|
Text Classification (SP)
|
100% |
1706
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
736
982.9 IPS |
|
|
Text Classification (Q)
|
97% |
1638
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2129
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
793
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3596
72.3 IPS |
