ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G634JZR_G634JZR
Geekbench AI Score
2717
Single Precision Score
3940
Half Precision Score
6032
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dgbrownnt |
| Upload Date | February 04 2025 07:43 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix SCAR 16 G634JZR_G634JZR |
| Motherboard | ASUSTeK COMPUTER INC. G634JZR |
| Power Plan | Performance |
| 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% |
1613
299.9 IPS |
|
|
Image Classification (HP)
|
100% |
2689
500.0 IPS |
|
|
Image Classification (Q)
|
99% |
3894
726.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2460
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3923
63.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4527
73.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4462
5.21 IPS |
|
|
Pose Estimation (HP)
|
99% |
3274
3.82 IPS |
|
|
Pose Estimation (Q)
|
97% |
13321
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1494
118.5 IPS |
|
|
Object Detection (HP)
|
98% |
2423
192.8 IPS |
|
|
Object Detection (Q)
|
90% |
4365
349.0 IPS |
|
|
Face Detection (SP)
|
100% |
5251
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
8078
96.0 IPS |
|
|
Face Detection (Q)
|
100% |
10884
129.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5209
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8699
67.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
11589
90.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11631
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20190
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30621
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2075
76.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3392
125.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6777
251.0 IPS |
|
|
Text Classification (SP)
|
71% |
1116
1.61 KIPS |
|
|
Text Classification (HP)
|
71% |
1325
1.92 KIPS |
|
|
Text Classification (Q)
|
92% |
1407
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1693
29.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1690
29.1 IPS |
