Intel(R) Client Systems NUC13SBBi9
Geekbench AI Score
5085
Single Precision Score
5076
Half Precision Score
13321
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | LinFengJun |
| Upload Date | August 16 2024 02:00 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Intel(R) Client Systems NUC13SBBi9 |
| Motherboard | Intel Corporation NUC13SBBi9 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3247
603.9 IPS |
|
|
Image Classification (HP)
|
100% |
3433
638.5 IPS |
|
|
Image Classification (Q)
|
100% |
8170
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4239
68.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4243
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8105
131.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7941
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
7932
9.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
26487
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
2941
233.3 IPS |
|
|
Object Detection (HP)
|
100% |
2923
231.8 IPS |
|
|
Object Detection (Q)
|
88% |
8602
689.6 IPS |
|
|
Face Detection (SP)
|
100% |
9879
117.4 IPS |
|
|
Face Detection (HP)
|
100% |
9639
114.5 IPS |
|
|
Face Detection (Q)
|
100% |
21325
253.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8725
67.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
8805
67.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
22619
179.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23159
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22243
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
72951
94.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4327
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4292
158.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14039
519.9 IPS |
|
|
Text Classification (SP)
|
100% |
1571
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1552
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
4270
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2651
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2675
46.1 IPS |
|
|
Machine Translation (Q)
|
85% |
5531
96.8 IPS |
