ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G634JZR_G634JZR
Geekbench AI Score
2547
Single Precision Score
3577
Half Precision Score
5524
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | vod19ka |
| Upload Date | September 03 2024 06:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| 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% |
1675
311.5 IPS |
|
|
Image Classification (HP)
|
100% |
2777
516.3 IPS |
|
|
Image Classification (Q)
|
99% |
3600
671.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2495
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4004
64.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4595
74.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4512
5.26 IPS |
|
|
Pose Estimation (HP)
|
99% |
3287
3.83 IPS |
|
|
Pose Estimation (Q)
|
97% |
13320
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.3 IPS |
|
|
Object Detection (HP)
|
98% |
2392
190.3 IPS |
|
|
Object Detection (Q)
|
90% |
3926
313.9 IPS |
|
|
Face Detection (SP)
|
100% |
5299
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
8047
95.6 IPS |
|
|
Face Detection (Q)
|
100% |
10766
127.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5235
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8721
67.4 IPS |
|
|
Depth Estimation (Q)
|
79% |
12425
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11800
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20206
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30580
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2095
77.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3416
126.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6883
254.9 IPS |
|
|
Text Classification (SP)
|
71% |
685
990.9 IPS |
|
|
Text Classification (HP)
|
71% |
743
1.07 KIPS |
|
|
Text Classification (Q)
|
92% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1091
18.9 IPS |
|
|
Machine Translation (Q)
|
89% |
1437
25.0 IPS |
