ASUSTeK COMPUTER INC. ROG Strix G16 G615JPR_G615JPR
Geekbench AI Score
3351
Single Precision Score
3359
Half Precision Score
8634
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | george_427 |
| Upload Date | August 27 2025 09:46 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G615JPR_G615JPR |
| Motherboard | ASUSTeK COMPUTER INC. G615JPR |
| 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% |
2328
433.0 IPS |
|
|
Image Classification (HP)
|
100% |
2267
421.6 IPS |
|
|
Image Classification (Q)
|
100% |
7627
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2933
47.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3112
50.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7396
119.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6880
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
6856
8.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
19309
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
1157
91.8 IPS |
|
|
Object Detection (HP)
|
100% |
1135
90.0 IPS |
|
|
Object Detection (Q)
|
88% |
5452
437.0 IPS |
|
|
Face Detection (SP)
|
100% |
3431
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
3443
40.9 IPS |
|
|
Face Detection (Q)
|
100% |
13670
162.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6527
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6348
48.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
15372
119.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19997
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19667
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
46227
59.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3169
117.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3295
121.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9125
337.9 IPS |
|
|
Text Classification (SP)
|
100% |
1900
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1902
2.54 KIPS |
|
|
Text Classification (Q)
|
92% |
3711
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1240
21.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1179
20.3 IPS |
