N/A
Geekbench AI Score
339
Single Precision Score
371
Half Precision Score
248
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 22 2025 07:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-1035G1 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | N/A |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1035G1 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 11.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
334
62.2 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.3 IPS |
|
|
Image Classification (Q)
|
99% |
121
22.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
381
6.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
453
7.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
262
4.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
439
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
453
0.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
428
0.50 IPS |
|
|
Object Detection (SP)
|
100% |
182
14.5 IPS |
|
|
Object Detection (HP)
|
100% |
167
13.2 IPS |
|
|
Object Detection (Q)
|
85% |
139
11.2 IPS |
|
|
Face Detection (SP)
|
100% |
390
4.63 IPS |
|
|
Face Detection (HP)
|
100% |
465
5.52 IPS |
|
|
Face Detection (Q)
|
97% |
365
4.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
328
2.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
366
2.82 IPS |
|
|
Depth Estimation (Q)
|
63% |
324
3.04 IPS |
|
|
Style Transfer (SP)
|
100% |
607
0.78 IPS |
|
|
Style Transfer (HP)
|
100% |
652
0.84 IPS |
|
|
Style Transfer (Q)
|
98% |
929
1.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
205
7.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
233
8.61 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
209
7.73 IPS |
|
|
Text Classification (SP)
|
100% |
363
483.9 IPS |
|
|
Text Classification (HP)
|
100% |
572
763.3 IPS |
|
|
Text Classification (Q)
|
92% |
125
168.3 IPS |
|
|
Machine Translation (SP)
|
100% |
344
5.92 IPS |
|
|
Machine Translation (HP)
|
100% |
412
7.09 IPS |
|
|
Machine Translation (Q)
|
58% |
169
3.96 IPS |
