iPad13,17
Geekbench AI Score
3096
Single Precision Score
5443
Half Precision Score
4440
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1313
244.2 IPS |
|
|
Image Classification (HP)
|
100% |
2227
414.1 IPS |
|
|
Image Classification (Q)
|
96% |
1569
292.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2531
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5996
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14118
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12112
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
97% |
2407
191.6 IPS |
|
|
Object Detection (Q)
|
94% |
1779
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
2959
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5407
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3156
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5451
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10400
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7344
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16466
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26194
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21824
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3456
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4641
171.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3505
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
2439
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
4271
5.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4221
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4678
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4657
80.5 IPS |
