ASUSTeK COMPUTER INC. ROG Strix G634JY_G634JY
Geekbench AI Score
4446
Single Precision Score
4690
Half Precision Score
12806
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Razzer85 |
| Upload Date | August 18 2024 07:45 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13980HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G634JY_G634JY |
| Motherboard | ASUSTeK COMPUTER INC. G634JY |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2243
417.1 IPS |
|
|
Image Classification (HP)
|
100% |
2378
442.3 IPS |
|
|
Image Classification (Q)
|
100% |
8601
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3668
59.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3638
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7620
123.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7939
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
7878
9.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
20489
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
2319
183.9 IPS |
|
|
Object Detection (HP)
|
100% |
2829
224.4 IPS |
|
|
Object Detection (Q)
|
88% |
7616
610.5 IPS |
|
|
Face Detection (SP)
|
100% |
8437
100.2 IPS |
|
|
Face Detection (HP)
|
100% |
8490
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
19706
234.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7494
57.7 IPS |
|
|
Depth Estimation (HP)
|
100% |
8482
65.3 IPS |
|
|
Depth Estimation (Q)
|
80% |
19155
151.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23372
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23390
30.1 IPS |
|
|
Style Transfer (Q)
|
98% |
84316
108.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3935
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4409
162.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15616
578.3 IPS |
|
|
Text Classification (SP)
|
100% |
1334
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1488
1.99 KIPS |
|
|
Text Classification (Q)
|
92% |
4268
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2573
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2418
41.7 IPS |
|
|
Machine Translation (Q)
|
85% |
5468
95.7 IPS |
