ASUSTeK COMPUTER INC. ROG Strix G16 G614FR_G614FR
Geekbench AI Score
1927
Single Precision Score
2082
Half Precision Score
1571
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 08 2026 08:58 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G16 G614FR_G614FR |
| Motherboard | ASUSTeK COMPUTER INC. G614FR |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9955HX3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
663
123.4 IPS |
|
|
Image Classification (HP)
|
100% |
640
119.0 IPS |
|
|
Image Classification (Q)
|
100% |
659
122.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
988
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6544
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
10628
12.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
5807
6.80 IPS |
|
|
Object Detection (SP)
|
100% |
714
56.7 IPS |
|
|
Object Detection (HP)
|
100% |
644
51.0 IPS |
|
|
Object Detection (Q)
|
87% |
671
53.9 IPS |
|
|
Face Detection (SP)
|
100% |
2126
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
2129
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
1969
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3726
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4340
33.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
3242
26.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11142
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16317
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
9711
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2781
102.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3668
135.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2071
76.7 IPS |
|
|
Text Classification (SP)
|
100% |
690
920.7 IPS |
|
|
Text Classification (HP)
|
100% |
871
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
476
637.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1180
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1141
19.6 IPS |
|
|
Machine Translation (Q)
|
70% |
591
11.1 IPS |
