ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR
Geekbench AI Score
4709
Single Precision Score
1493
Half Precision Score
7311
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | March 04 2025 04:01 PM |
| Views | 10 |
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% |
3585
666.7 IPS |
|
|
Image Classification (HP)
|
100% |
526
97.8 IPS |
|
|
Image Classification (Q)
|
99% |
6015
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3692
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9557
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4322
5.04 IPS |
|
|
Pose Estimation (Q)
|
94% |
28586
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
3616
286.8 IPS |
|
|
Object Detection (HP)
|
100% |
649
51.5 IPS |
|
|
Object Detection (Q)
|
86% |
6523
524.3 IPS |
|
|
Face Detection (SP)
|
100% |
9812
116.6 IPS |
|
|
Face Detection (HP)
|
100% |
1634
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
10404
124.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10626
81.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1982
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
16019
127.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20621
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10841
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26461
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3472
128.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2006
74.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4824
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
1514
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
718
958.6 IPS |
|
|
Text Classification (Q)
|
97% |
1557
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1944
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3184
64.0 IPS |
