ASUSTeK COMPUTER INC. ROG Strix G834JY_G834JY
Geekbench AI Score
26633
Single Precision Score
40222
Half Precision Score
20330
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 11:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G834JY_G834JY |
| Motherboard | ASUSTeK COMPUTER INC. G834JY |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13980HX |
| 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% |
10162
1.89 KIPS |
|
|
Image Classification (HP)
|
99% |
15449
2.88 KIPS |
|
|
Image Classification (Q)
|
100% |
9160
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17487
283.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22350
362.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15994
260.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
172570
201.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
385870
450.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
156900
183.8 IPS |
|
|
Object Detection (SP)
|
100% |
13162
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
18338
1.45 KIPS |
|
|
Object Detection (Q)
|
85% |
11260
905.8 IPS |
|
|
Face Detection (SP)
|
100% |
38102
452.7 IPS |
|
|
Face Detection (HP)
|
100% |
49482
588.0 IPS |
|
|
Face Detection (Q)
|
97% |
33091
394.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
64085
493.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
121774
940.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
49757
397.3 IPS |
|
|
Style Transfer (SP)
|
100% |
299839
385.4 IPS |
|
|
Style Transfer (HP)
|
100% |
695453
894.0 IPS |
|
|
Style Transfer (Q)
|
98% |
250442
322.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43291
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62352
2.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33083
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3346
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4150
5.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1698
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4195
72.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4184
72.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2012
37.7 IPS |
