LENOVO 21J8
Geekbench AI Score
2497
Single Precision Score
734
Half Precision Score
6131
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Eugene107 |
| Upload Date | April 27 2025 12:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04 LTS |
| Model | LENOVO 21J8 |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 4.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1497
278.5 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.3 IPS |
|
|
Image Classification (Q)
|
97% |
5072
946.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
3006
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3895
4.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2800
3.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
17791
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
100% |
260
20.6 IPS |
|
|
Object Detection (Q)
|
86% |
5378
432.3 IPS |
|
|
Face Detection (SP)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
435
5.16 IPS |
|
|
Face Detection (Q)
|
97% |
13341
159.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4576
35.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1023
7.88 IPS |
|
|
Depth Estimation (Q)
|
78% |
12081
96.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9851
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6874
8.84 IPS |
|
|
Style Transfer (Q)
|
98% |
20171
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1919
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1340
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4069
150.7 IPS |
|
|
Text Classification (SP)
|
100% |
1373
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
473
631.0 IPS |
|
|
Text Classification (Q)
|
97% |
1437
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2128
36.7 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.48 IPS |
|
|
Machine Translation (Q)
|
65% |
2707
54.4 IPS |
