iPad (10th generation) iPad13,18
Geekbench AI Score
2744
Single Precision Score
12591
Half Precision Score
12546
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Atirox |
| Upload Date | February 13 2025 05:45 AM |
| Views | 10 |
| Notes | iPad13,18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1201
223.4 IPS |
|
|
Image Classification (HP)
|
100% |
4049
753.0 IPS |
|
|
Image Classification (Q)
|
96% |
4120
769.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8186
132.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8362
135.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5419
6.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
60908
71.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59137
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (HP)
|
99% |
5680
451.8 IPS |
|
|
Object Detection (Q)
|
91% |
5009
400.2 IPS |
|
|
Face Detection (SP)
|
100% |
2460
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
13929
165.5 IPS |
|
|
Face Detection (Q)
|
100% |
12128
144.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5051
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
38451
296.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
37841
295.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14368
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
94523
121.5 IPS |
|
|
Style Transfer (Q)
|
96% |
94064
121.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3149
116.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16642
614.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17747
655.3 IPS |
|
|
Text Classification (SP)
|
100% |
2097
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (Q)
|
93% |
2292
3.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2261
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4475
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5394
93.2 IPS |
