ASUSTeK COMPUTER INC. ROG Strix G16 G614JIR_G614JIR
Geekbench AI Score
5201
Single Precision Score
5194
Half Precision Score
13539
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | April 08 2025 09:43 AM |
| Views | 2 |
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 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% |
2986
555.2 IPS |
|
|
Image Classification (HP)
|
100% |
3115
579.3 IPS |
|
|
Image Classification (Q)
|
100% |
8847
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4205
68.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4144
67.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8320
134.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9712
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9891
11.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
30102
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
2943
233.4 IPS |
|
|
Object Detection (HP)
|
100% |
2975
236.0 IPS |
|
|
Object Detection (Q)
|
88% |
9670
775.2 IPS |
|
|
Face Detection (SP)
|
100% |
9954
118.3 IPS |
|
|
Face Detection (HP)
|
100% |
9844
117.0 IPS |
|
|
Face Detection (Q)
|
100% |
23629
280.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9130
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8584
66.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
26719
207.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28252
36.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28722
36.9 IPS |
|
|
Style Transfer (Q)
|
98% |
83533
107.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4362
161.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4223
156.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15545
575.7 IPS |
|
|
Text Classification (SP)
|
100% |
1315
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1343
1.79 KIPS |
|
|
Text Classification (Q)
|
92% |
4498
6.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2743
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2736
47.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2620
45.1 IPS |
