ASUSTeK COMPUTER INC. ROG Strix G16 G614JIR_G614JIR
Geekbench AI Score
4224
Single Precision Score
1489
Half Precision Score
5663
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | December 13 2025 02:47 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G614JIR_G614JIR |
| Motherboard | ASUSTeK COMPUTER INC. G614JIR |
| Power Plan | High 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% |
2371
441.0 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.5 IPS |
|
|
Image Classification (Q)
|
99% |
4041
753.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1003
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3943
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10905
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
4630
5.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
32562
38.2 IPS |
|
|
Object Detection (SP)
|
100% |
2635
209.0 IPS |
|
|
Object Detection (HP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
88% |
2331
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
4381
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
1719
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
5089
60.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9851
75.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2038
15.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
10118
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23069
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11390
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25455
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3890
143.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2079
76.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4970
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
1624
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
632
843.2 IPS |
|
|
Text Classification (Q)
|
97% |
1573
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1938
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2738
61.1 IPS |
