ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR
Geekbench AI Score
5500
Single Precision Score
1628
Half Precision Score
8401
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | February 23 2025 09:52 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% |
4396
817.4 IPS |
|
|
Image Classification (HP)
|
100% |
554
103.1 IPS |
|
|
Image Classification (Q)
|
99% |
6970
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4040
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11332
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4689
5.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
34287
40.2 IPS |
|
|
Object Detection (SP)
|
100% |
4155
329.6 IPS |
|
|
Object Detection (HP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (Q)
|
86% |
7678
617.1 IPS |
|
|
Face Detection (SP)
|
100% |
11530
137.0 IPS |
|
|
Face Detection (HP)
|
100% |
1873
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
11659
139.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12959
99.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2178
16.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
19127
152.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24824
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11776
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29370
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3939
145.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2236
82.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5631
208.5 IPS |
|
|
Text Classification (SP)
|
100% |
1756
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1706
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2224
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3758
75.5 IPS |
