iPad13,18
Geekbench AI Score
2591
Single Precision Score
4505
Half Precision Score
3728
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 03:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1182
219.9 IPS |
|
|
Image Classification (HP)
|
100% |
1912
355.6 IPS |
|
|
Image Classification (Q)
|
96% |
1349
251.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1711
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2081
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5252
6.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
10889
12.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9623
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1271
100.9 IPS |
|
|
Object Detection (HP)
|
97% |
2092
166.5 IPS |
|
|
Object Detection (Q)
|
94% |
1547
123.3 IPS |
|
|
Face Detection (SP)
|
100% |
2310
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
4240
50.4 IPS |
|
|
Face Detection (Q)
|
100% |
2488
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4721
36.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
8993
69.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6408
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13169
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22909
29.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19455
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2790
103.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4048
149.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3088
114.0 IPS |
|
|
Text Classification (SP)
|
100% |
2141
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3705
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3645
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2047
35.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3532
61.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3560
61.5 IPS |
