Intel(R) Client Systems NUC12DCMi7
Geekbench AI Score
26357
Single Precision Score
39088
Half Precision Score
19615
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | sfs1 |
| Upload Date | December 04 2024 06:29 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC12DCMi7 |
| Motherboard | Intel Corporation NUC12EDBi7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700 |
| Topology | 1 Processor, 12 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10335
1.92 KIPS |
|
|
Image Classification (HP)
|
99% |
16247
3.03 KIPS |
|
|
Image Classification (Q)
|
100% |
8768
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16119
261.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20318
329.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
14971
243.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
163542
190.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
399974
466.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
156358
183.1 IPS |
|
|
Object Detection (SP)
|
100% |
13085
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
18512
1.47 KIPS |
|
|
Object Detection (Q)
|
89% |
10395
832.2 IPS |
|
|
Face Detection (SP)
|
100% |
33710
400.6 IPS |
|
|
Face Detection (HP)
|
100% |
42912
509.9 IPS |
|
|
Face Detection (Q)
|
97% |
28341
337.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
64768
499.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
111861
864.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
47489
382.6 IPS |
|
|
Style Transfer (SP)
|
100% |
313425
402.9 IPS |
|
|
Style Transfer (HP)
|
100% |
694057
892.2 IPS |
|
|
Style Transfer (Q)
|
98% |
265492
342.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41981
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54004
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31213
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4405
5.88 KIPS |
|
|
Text Classification (Q)
|
97% |
1850
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4429
76.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4299
74.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1916
42.7 IPS |
