ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR
Geekbench AI Score
24320
Single Precision Score
35751
Half Precision Score
19157
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | March 16 2025 12:09 AM |
| Views | 13 |
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% |
9624
1.79 KIPS |
|
|
Image Classification (HP)
|
99% |
14868
2.77 KIPS |
|
|
Image Classification (Q)
|
100% |
8296
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13949
226.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16758
271.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13050
212.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
154388
180.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
374716
437.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
143671
168.3 IPS |
|
|
Object Detection (SP)
|
100% |
11623
921.9 IPS |
|
|
Object Detection (HP)
|
100% |
16834
1.34 KIPS |
|
|
Object Detection (Q)
|
85% |
10163
818.2 IPS |
|
|
Face Detection (SP)
|
100% |
31086
369.4 IPS |
|
|
Face Detection (HP)
|
100% |
38863
461.8 IPS |
|
|
Face Detection (Q)
|
97% |
27422
327.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
66359
511.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
108468
838.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
50298
402.1 IPS |
|
|
Style Transfer (SP)
|
100% |
268227
344.8 IPS |
|
|
Style Transfer (HP)
|
100% |
630362
810.3 IPS |
|
|
Style Transfer (Q)
|
98% |
244159
314.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43351
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53502
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30909
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3485
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
4336
5.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1993
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3521
60.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2031
38.1 IPS |
