ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR
Geekbench AI Score
24065
Single Precision Score
36013
Half Precision Score
19049
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | February 28 2025 02:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| 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% |
9391
1.75 KIPS |
|
|
Image Classification (HP)
|
99% |
15745
2.94 KIPS |
|
|
Image Classification (Q)
|
100% |
8179
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13556
219.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16630
269.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12534
203.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
150698
175.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
363858
424.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
140056
164.1 IPS |
|
|
Object Detection (SP)
|
100% |
11909
944.6 IPS |
|
|
Object Detection (HP)
|
100% |
17610
1.40 KIPS |
|
|
Object Detection (Q)
|
85% |
10622
855.1 IPS |
|
|
Face Detection (SP)
|
100% |
31802
377.9 IPS |
|
|
Face Detection (HP)
|
100% |
39766
472.5 IPS |
|
|
Face Detection (Q)
|
97% |
27260
325.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
63502
489.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
103633
800.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
48947
391.3 IPS |
|
|
Style Transfer (SP)
|
100% |
259961
334.2 IPS |
|
|
Style Transfer (HP)
|
100% |
612442
787.3 IPS |
|
|
Style Transfer (Q)
|
98% |
242822
313.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41703
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53519
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30057
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3605
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
4462
5.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2077
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3614
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3629
62.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2040
38.3 IPS |
