ASUSTeK COMPUTER INC. ROG Strix G814JV_G814JV
Geekbench AI Score
15455
Single Precision Score
25416
Half Precision Score
11965
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 08:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G814JV_G814JV |
| Motherboard | ASUSTeK COMPUTER INC. G814JV |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6027
1.12 KIPS |
|
|
Image Classification (HP)
|
99% |
9895
1.85 KIPS |
|
|
Image Classification (Q)
|
100% |
5382
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10210
165.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13068
211.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9392
152.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
86564
101.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
229668
268.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
77664
90.9 IPS |
|
|
Object Detection (SP)
|
100% |
7613
603.8 IPS |
|
|
Object Detection (HP)
|
100% |
13306
1.06 KIPS |
|
|
Object Detection (Q)
|
89% |
6261
501.2 IPS |
|
|
Face Detection (SP)
|
100% |
16702
198.5 IPS |
|
|
Face Detection (HP)
|
100% |
25326
300.9 IPS |
|
|
Face Detection (Q)
|
97% |
14045
167.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
35610
274.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
70909
546.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
29177
234.4 IPS |
|
|
Style Transfer (SP)
|
100% |
135846
174.6 IPS |
|
|
Style Transfer (HP)
|
100% |
344040
442.3 IPS |
|
|
Style Transfer (Q)
|
98% |
121554
156.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26662
984.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42227
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19613
726.2 IPS |
|
|
Text Classification (SP)
|
100% |
2898
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
3337
4.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1760
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3072
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3270
56.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1423
31.7 IPS |
