ASUSTeK COMPUTER INC. ROG Strix G814JZ_G814JZ
Geekbench AI Score
26110
Single Precision Score
39853
Half Precision Score
19910
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 06:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G814JZ_G814JZ |
| Motherboard | ASUSTeK COMPUTER INC. G814JZ |
| Power Plan | Turbo |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9925
1.85 KIPS |
|
|
Image Classification (HP)
|
99% |
15326
2.86 KIPS |
|
|
Image Classification (Q)
|
100% |
8743
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17218
279.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21544
349.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15337
249.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
158068
184.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
400896
467.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
144268
169.0 IPS |
|
|
Object Detection (SP)
|
100% |
12745
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
18601
1.48 KIPS |
|
|
Object Detection (Q)
|
85% |
10585
852.1 IPS |
|
|
Face Detection (SP)
|
100% |
34433
409.1 IPS |
|
|
Face Detection (HP)
|
100% |
47579
565.3 IPS |
|
|
Face Detection (Q)
|
97% |
29823
355.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
63633
490.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
112797
871.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
49293
394.1 IPS |
|
|
Style Transfer (SP)
|
100% |
271879
349.5 IPS |
|
|
Style Transfer (HP)
|
100% |
672574
864.6 IPS |
|
|
Style Transfer (Q)
|
98% |
243110
313.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42284
1.56 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53702
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31312
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3779
5.04 KIPS |
|
|
Text Classification (HP)
|
99% |
4715
6.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1971
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4494
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4492
77.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2168
40.7 IPS |
