LENOVO 90D7A00600
Geekbench AI Score
297
Single Precision Score
216
Half Precision Score
407
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | kitsunechan_2525 |
| Upload Date | June 04 2025 09:42 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium G3250 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT LTSC (64-bit) |
| Model | LENOVO 90D7A00600 |
| Motherboard | LENOVO 3098 |
| CPU Information | |
|---|---|
| Name | Intel Pentium G3250 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
188
35.0 IPS |
|
|
Image Classification (HP)
|
100% |
108
20.0 IPS |
|
|
Image Classification (Q)
|
96% |
303
56.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
143
2.31 IPS |
|
|
Image Segmentation (Q)
|
97% |
270
4.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
338
0.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
309
0.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
557
0.66 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.24 IPS |
|
|
Object Detection (Q)
|
58% |
212
23.2 IPS |
|
|
Face Detection (SP)
|
100% |
455
5.40 IPS |
|
|
Face Detection (HP)
|
100% |
276
3.28 IPS |
|
|
Face Detection (Q)
|
96% |
596
7.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
462
3.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
324
2.50 IPS |
|
|
Depth Estimation (Q)
|
78% |
632
5.03 IPS |
|
|
Style Transfer (SP)
|
100% |
927
1.19 IPS |
|
|
Style Transfer (HP)
|
100% |
884
1.14 IPS |
|
|
Style Transfer (Q)
|
87% |
1152
1.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
201
7.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
183
6.77 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
322
11.9 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.0 IPS |
|
|
Text Classification (HP)
|
100% |
164
219.1 IPS |
|
|
Text Classification (Q)
|
97% |
217
290.6 IPS |
|
|
Machine Translation (SP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (HP)
|
100% |
173
2.98 IPS |
|
|
Machine Translation (Q)
|
68% |
432
8.35 IPS |
