Intel(R) Client Systems NUC11PHi7
Geekbench ML Score
6162
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 12 2024 10:12 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Intel(R) Client Systems NUC11PHi7 |
| Motherboard | Intel Corporation NUC11PHBi7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 1.25 MB x 4 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2950
552.1 IPS |
|
|
Image Classification (F16)
|
100% |
3139
587.5 IPS |
|
|
Image Classification (I8)
|
100% |
2543
475.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
3985
66.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
3605
60.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3085
51.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
29038
35.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
47418
57.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
40695
49.3 IPS |
|
|
Object Detection (F32)
|
100% |
2558
191.0 IPS |
|
|
Object Detection (F16)
|
100% |
2754
205.6 IPS |
|
|
Object Detection (I8)
|
61% |
2553
190.6 IPS |
|
|
Face Detection (F32)
|
100% |
8380
99.6 IPS |
|
|
Face Detection (F16)
|
100% |
8288
98.6 IPS |
|
|
Face Detection (I8)
|
89% |
6651
79.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
17954
139.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
21898
169.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
17029
132.1 IPS |
|
|
Style Transfer (F32)
|
100% |
60952
80.2 IPS |
|
|
Style Transfer (F16)
|
100% |
76409
100.5 IPS |
|
|
Style Transfer (I8)
|
98% |
54301
71.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11655
416.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9780
349.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6124
218.7 IPS |
|
|
Text Classification (F32)
|
100% |
824
1.18 KIPS |
|
|
Text Classification (F16)
|
100% |
818
1.18 KIPS |
|
|
Text Classification (I8)
|
98% |
653
937.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1472
27.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1476
27.2 IPS |
|
|
Machine Translation (I8)
|
70% |
899
16.5 IPS |
