ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR
Geekbench AI Score
5834
Single Precision Score
5837
Half Precision Score
13320
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | March 16 2025 12:07 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR |
| 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% |
3496
650.1 IPS |
|
|
Image Classification (HP)
|
100% |
3276
609.1 IPS |
|
|
Image Classification (Q)
|
100% |
8634
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4719
76.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4721
76.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9429
152.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10549
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10432
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
27240
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
3022
239.7 IPS |
|
|
Object Detection (HP)
|
100% |
3072
243.7 IPS |
|
|
Object Detection (Q)
|
88% |
9161
734.3 IPS |
|
|
Face Detection (SP)
|
100% |
9673
114.9 IPS |
|
|
Face Detection (HP)
|
100% |
10277
122.1 IPS |
|
|
Face Detection (Q)
|
100% |
21296
253.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9286
71.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9824
75.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
23876
185.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29661
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
29004
37.3 IPS |
|
|
Style Transfer (Q)
|
98% |
77340
99.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4629
170.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4839
178.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15283
566.0 IPS |
|
|
Text Classification (SP)
|
100% |
2591
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2433
3.25 KIPS |
|
|
Text Classification (Q)
|
92% |
5434
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2720
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2689
46.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2650
45.7 IPS |
