ASUSTeK COMPUTER INC. ROG STRIX G16CH_G16CH
Geekbench AI Score
17761
Single Precision Score
28487
Half Precision Score
11348
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Betancd |
| Upload Date | September 29 2024 10:28 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| 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% |
7241
1.35 KIPS |
|
|
Image Classification (HP)
|
99% |
10886
2.03 KIPS |
|
|
Image Classification (Q)
|
100% |
5053
939.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10745
174.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14937
242.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8604
139.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
102023
119.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
288342
336.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
84110
98.5 IPS |
|
|
Object Detection (SP)
|
100% |
9208
730.4 IPS |
|
|
Object Detection (HP)
|
100% |
14356
1.14 KIPS |
|
|
Object Detection (Q)
|
88% |
6292
504.6 IPS |
|
|
Face Detection (SP)
|
100% |
18670
221.8 IPS |
|
|
Face Detection (HP)
|
100% |
28344
336.8 IPS |
|
|
Face Detection (Q)
|
97% |
13767
164.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
43299
333.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
81044
624.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
28020
225.7 IPS |
|
|
Style Transfer (SP)
|
100% |
175457
225.6 IPS |
|
|
Style Transfer (HP)
|
100% |
437216
562.0 IPS |
|
|
Style Transfer (Q)
|
98% |
135912
175.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31238
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42056
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17610
652.1 IPS |
|
|
Text Classification (SP)
|
100% |
3001
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3856
5.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1447
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3211
55.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1153
25.7 IPS |
