ASUSTeK COMPUTER INC. ROG STRIX G16CH_G16CH
Geekbench AI Score
23292
Single Precision Score
38271
Half Precision Score
18591
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | February 20 2026 10:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG STRIX G16CH_G16CH |
| Motherboard | ASUSTeK COMPUTER INC. G16CH |
| Power Plan | Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9810
1.82 KIPS |
|
|
Image Classification (HP)
|
100% |
15781
2.93 KIPS |
|
|
Image Classification (Q)
|
100% |
8836
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11762
190.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13677
221.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12500
203.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
158809
185.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
417200
486.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
136115
159.6 IPS |
|
|
Object Detection (SP)
|
100% |
12671
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
19361
1.54 KIPS |
|
|
Object Detection (Q)
|
89% |
10353
829.0 IPS |
|
|
Face Detection (SP)
|
100% |
28019
332.9 IPS |
|
|
Face Detection (HP)
|
100% |
37551
446.2 IPS |
|
|
Face Detection (Q)
|
97% |
24024
286.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
55769
429.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
119540
921.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
49123
394.9 IPS |
|
|
Style Transfer (SP)
|
100% |
221971
285.3 IPS |
|
|
Style Transfer (HP)
|
100% |
696362
895.2 IPS |
|
|
Style Transfer (Q)
|
98% |
190245
245.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38732
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68842
2.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31410
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3808
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4557
6.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2358
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3958
68.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3943
67.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1906
42.5 IPS |
