iPad13,18 (iPad 10) iPad13,18
Geekbench AI Score
2686
Single Precision Score
4503
Half Precision Score
3765
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | joebot |
| Upload Date | March 08 2025 02:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1183
219.9 IPS |
|
|
Image Classification (HP)
|
100% |
1865
346.8 IPS |
|
|
Image Classification (Q)
|
96% |
1354
252.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2144
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5550
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
11354
13.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10139
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1312
104.1 IPS |
|
|
Object Detection (HP)
|
97% |
2128
169.4 IPS |
|
|
Object Detection (Q)
|
94% |
1550
123.5 IPS |
|
|
Face Detection (SP)
|
100% |
2379
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
4415
52.5 IPS |
|
|
Face Detection (Q)
|
100% |
2598
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4950
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9638
74.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6656
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14186
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23081
29.7 IPS |
|
|
Style Transfer (Q)
|
96% |
19324
24.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3026
111.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3969
146.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2996
110.6 IPS |
|
|
Text Classification (SP)
|
100% |
2111
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3736
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3640
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2083
35.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3014
52.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3448
59.6 IPS |
