ASUSTeK COMPUTER INC. ROG Strix G16 G634JZR_G614JZR
Geekbench AI Score
5138
Single Precision Score
5110
Half Precision Score
12980
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JohnnieTheRabbit |
| Upload Date | March 04 2025 04:14 PM |
| Views | 14 |
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% |
3135
583.0 IPS |
|
|
Image Classification (HP)
|
100% |
3196
594.3 IPS |
|
|
Image Classification (Q)
|
100% |
8289
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4230
68.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4154
67.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8984
145.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7465
8.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
7536
8.79 IPS |
|
|
Pose Estimation (Q)
|
96% |
25942
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
2820
223.6 IPS |
|
|
Object Detection (HP)
|
100% |
2955
234.4 IPS |
|
|
Object Detection (Q)
|
88% |
8615
690.6 IPS |
|
|
Face Detection (SP)
|
100% |
9185
109.1 IPS |
|
|
Face Detection (HP)
|
100% |
9100
108.1 IPS |
|
|
Face Detection (Q)
|
100% |
21315
253.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8133
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8046
62.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
24098
187.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21541
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21355
27.5 IPS |
|
|
Style Transfer (Q)
|
98% |
72409
93.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4239
156.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4065
150.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14596
540.6 IPS |
|
|
Text Classification (SP)
|
100% |
2446
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (Q)
|
92% |
5457
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2754
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2757
47.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2754
47.4 IPS |
