ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G634JZR_G634JZR
Geekbench AI Score
23162
Single Precision Score
35347
Half Precision Score
17897
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vod19ka |
| Upload Date | September 03 2024 06:59 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 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G634JZR_G634JZR |
| 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% |
9412
1.75 KIPS |
|
|
Image Classification (HP)
|
99% |
15007
2.80 KIPS |
|
|
Image Classification (Q)
|
100% |
8299
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13989
226.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17220
279.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12824
208.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
151826
177.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
373590
435.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
139192
163.0 IPS |
|
|
Object Detection (SP)
|
100% |
10514
833.9 IPS |
|
|
Object Detection (HP)
|
100% |
16498
1.31 KIPS |
|
|
Object Detection (Q)
|
89% |
9188
735.4 IPS |
|
|
Face Detection (SP)
|
100% |
27112
322.1 IPS |
|
|
Face Detection (HP)
|
100% |
36794
437.2 IPS |
|
|
Face Detection (Q)
|
97% |
22821
272.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
54768
422.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
93521
720.5 IPS |
|
|
Depth Estimation (Q)
|
75% |
43818
355.1 IPS |
|
|
Style Transfer (SP)
|
100% |
263395
338.6 IPS |
|
|
Style Transfer (HP)
|
100% |
628879
808.4 IPS |
|
|
Style Transfer (Q)
|
98% |
234558
302.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41457
1.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53574
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30572
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3648
4.87 KIPS |
|
|
Text Classification (HP)
|
99% |
4663
6.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2063
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3576
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1675
37.4 IPS |
