LENOVO 21JQS9VD00
Geekbench AI Score
1817
Single Precision Score
919
Half Precision Score
3854
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | March 28 2026 05:12 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1315U |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | LENOVO 21JQS9VD00 |
| Motherboard | LENOVO 21JQS9VD00 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1315U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1360
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.5 IPS |
|
|
Image Classification (Q)
|
99% |
2949
550.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
614
9.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
3714
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2669
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1892
2.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
8424
9.88 IPS |
|
|
Object Detection (SP)
|
100% |
1374
108.9 IPS |
|
|
Object Detection (HP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (Q)
|
86% |
2848
228.9 IPS |
|
|
Face Detection (SP)
|
100% |
2740
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
1035
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
4968
59.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3478
26.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1193
9.19 IPS |
|
|
Depth Estimation (Q)
|
78% |
7124
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6036
7.76 IPS |
|
|
Style Transfer (HP)
|
100% |
4839
6.22 IPS |
|
|
Style Transfer (Q)
|
98% |
10642
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1293
47.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1056
39.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3157
116.9 IPS |
|
|
Text Classification (SP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
575
768.1 IPS |
|
|
Text Classification (Q)
|
97% |
1273
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1233
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
591
10.2 IPS |
|
|
Machine Translation (Q)
|
65% |
1820
36.6 IPS |
