Intel(R) Client Systems NUC13RNGi9
Geekbench AI Score
206
Single Precision Score
204
Half Precision Score
144
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | daniel-baumann |
| Upload Date | June 29 2025 12:26 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-13900KS |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | Intel(R) Client Systems NUC13RNGi9 |
| Motherboard | Intel Corporation NUC13SBBi9 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
134
24.9 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.5 IPS |
|
|
Image Classification (Q)
|
97% |
93
17.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
169
2.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
129
2.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
199
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
194
0.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
164
0.19 IPS |
|
|
Object Detection (SP)
|
100% |
116
9.23 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.23 IPS |
|
|
Object Detection (Q)
|
87% |
87
7.02 IPS |
|
|
Face Detection (SP)
|
100% |
372
4.42 IPS |
|
|
Face Detection (HP)
|
100% |
374
4.44 IPS |
|
|
Face Detection (Q)
|
97% |
288
3.44 IPS |
|
|
Depth Estimation (SP)
|
100% |
272
2.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
269
2.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
185
1.70 IPS |
|
|
Style Transfer (SP)
|
100% |
577
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
575
0.74 IPS |
|
|
Style Transfer (Q)
|
98% |
491
0.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
128
4.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
127
4.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
97
3.60 IPS |
|
|
Text Classification (SP)
|
100% |
143
190.5 IPS |
|
|
Text Classification (HP)
|
100% |
143
191.1 IPS |
|
|
Text Classification (Q)
|
91% |
82
110.0 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.40 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (Q)
|
58% |
114
2.73 IPS |
