ASUSTeK COMPUTER INC. ROG Strix G814JZ_G814JZ
Geekbench AI Score
25332
Single Precision Score
38947
Half Precision Score
19387
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 06:18 PM |
| Views | 2 |
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% |
9695
1.80 KIPS |
|
|
Image Classification (HP)
|
99% |
15111
2.82 KIPS |
|
|
Image Classification (Q)
|
100% |
8579
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16400
265.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21574
349.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14974
243.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
152096
177.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
392457
457.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
139068
162.9 IPS |
|
|
Object Detection (SP)
|
100% |
12317
977.0 IPS |
|
|
Object Detection (HP)
|
100% |
18239
1.45 KIPS |
|
|
Object Detection (Q)
|
85% |
10215
822.3 IPS |
|
|
Face Detection (SP)
|
100% |
34476
409.6 IPS |
|
|
Face Detection (HP)
|
100% |
46770
555.7 IPS |
|
|
Face Detection (Q)
|
97% |
29931
356.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
61684
475.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
108283
836.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
47407
379.0 IPS |
|
|
Style Transfer (SP)
|
100% |
262036
336.9 IPS |
|
|
Style Transfer (HP)
|
100% |
628656
808.1 IPS |
|
|
Style Transfer (Q)
|
98% |
229686
296.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40960
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52778
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30602
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3675
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
4647
6.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1878
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4356
75.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4408
75.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2195
41.2 IPS |
