Intel(R) Client Systems NUC13RNGi9
Geekbench AI Score
5364
Single Precision Score
1581
Half Precision Score
8505
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | yooakim |
| Upload Date | December 13 2024 12:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Intel(R) Client Systems NUC13RNGi9 |
| Motherboard | Intel Corporation NUC13SBBi9 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4368
812.3 IPS |
|
|
Image Classification (HP)
|
100% |
559
104.0 IPS |
|
|
Image Classification (Q)
|
99% |
7130
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2036
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1022
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4292
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11240
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
4677
5.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
35645
41.8 IPS |
|
|
Object Detection (SP)
|
100% |
4104
325.5 IPS |
|
|
Object Detection (HP)
|
100% |
712
56.5 IPS |
|
|
Object Detection (Q)
|
86% |
7260
583.5 IPS |
|
|
Face Detection (SP)
|
100% |
11445
136.0 IPS |
|
|
Face Detection (HP)
|
100% |
1734
20.6 IPS |
|
|
Face Detection (Q)
|
97% |
11550
137.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12873
99.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2143
16.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
18557
148.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24890
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11630
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31477
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3878
143.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2127
78.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5728
212.1 IPS |
|
|
Text Classification (SP)
|
100% |
1561
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
691
922.3 IPS |
|
|
Text Classification (Q)
|
97% |
1731
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2167
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3739
75.1 IPS |
