ASUSTeK COMPUTER INC. ROG Strix G16 G614JIR_G614JIR
Geekbench AI Score
5083
Single Precision Score
5053
Half Precision Score
11499
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | RMK1987 |
| Upload Date | April 08 2025 09:38 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 | 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% |
3170
589.6 IPS |
|
|
Image Classification (HP)
|
100% |
3203
595.6 IPS |
|
|
Image Classification (Q)
|
100% |
7561
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3872
62.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3977
64.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7047
114.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9284
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9287
10.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
23562
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
2845
225.7 IPS |
|
|
Object Detection (HP)
|
100% |
2849
226.0 IPS |
|
|
Object Detection (Q)
|
88% |
8191
656.6 IPS |
|
|
Face Detection (SP)
|
100% |
9487
112.7 IPS |
|
|
Face Detection (HP)
|
100% |
9382
111.5 IPS |
|
|
Face Detection (Q)
|
100% |
19877
236.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8366
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8347
64.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
21440
166.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25261
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26701
34.3 IPS |
|
|
Style Transfer (Q)
|
98% |
71601
92.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4612
170.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4247
156.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13835
512.4 IPS |
|
|
Text Classification (SP)
|
100% |
1450
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1543
2.06 KIPS |
|
|
Text Classification (Q)
|
92% |
3890
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2651
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2353
40.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2395
41.3 IPS |
