| User | PeterJFrancoIII |
| Upload Date | October 18 2025 02:20 AM |
| Views | 6 |
| Notes | -150mV Core -150mV iGPU & Media -65mV System Agent (Ram) |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13980HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G814JZ_G814JZ |
| Motherboard | ASUSTeK COMPUTER INC. G814JZ |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13980HX |
| 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 | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4060
755.1 IPS |
|
|
Image Classification (HP)
|
100% |
550
102.3 IPS |
|
|
Image Classification (Q)
|
99% |
6163
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2029
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
824
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11184
181.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9525
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
3852
4.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
28196
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
3840
304.6 IPS |
|
|
Object Detection (HP)
|
100% |
712
56.5 IPS |
|
|
Object Detection (Q)
|
86% |
6229
500.6 IPS |
|
|
Face Detection (SP)
|
100% |
11672
138.7 IPS |
|
|
Face Detection (HP)
|
100% |
1348
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
9743
116.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10351
79.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1716
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15061
120.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21584
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10533
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25819
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3051
112.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1866
68.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5802
214.8 IPS |
|
|
Text Classification (SP)
|
100% |
1446
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
734
980.0 IPS |
|
|
Text Classification (Q)
|
97% |
1407
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1993
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2758
55.4 IPS |