ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR
Geekbench AI Score
23997
Single Precision Score
35442
Half Precision Score
18980
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | May 01 2025 01:12 PM |
| Views | 7 |
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% |
9862
1.83 KIPS |
|
|
Image Classification (HP)
|
99% |
15516
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
8451
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13407
217.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16506
267.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12594
204.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
155718
181.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
360498
420.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
141491
165.8 IPS |
|
|
Object Detection (SP)
|
100% |
11662
925.0 IPS |
|
|
Object Detection (HP)
|
100% |
16947
1.34 KIPS |
|
|
Object Detection (Q)
|
85% |
10033
807.7 IPS |
|
|
Face Detection (SP)
|
100% |
29655
352.4 IPS |
|
|
Face Detection (HP)
|
100% |
39101
464.6 IPS |
|
|
Face Detection (Q)
|
97% |
26851
320.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
61160
471.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
102030
788.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
49187
393.2 IPS |
|
|
Style Transfer (SP)
|
100% |
263919
339.3 IPS |
|
|
Style Transfer (HP)
|
100% |
612866
787.8 IPS |
|
|
Style Transfer (Q)
|
98% |
238702
307.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42367
1.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53415
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31555
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3599
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
4370
5.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2038
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3614
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3503
60.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1981
37.2 IPS |
