iPad13,18
Geekbench AI Score
2678
Single Precision Score
4671
Half Precision Score
3911
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 29 2025 09:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1262
234.6 IPS |
|
|
Image Classification (HP)
|
100% |
2025
376.5 IPS |
|
|
Image Classification (Q)
|
96% |
1454
271.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2149
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5099
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
10733
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9524
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1299
103.1 IPS |
|
|
Object Detection (HP)
|
97% |
2180
173.6 IPS |
|
|
Object Detection (Q)
|
94% |
1616
128.8 IPS |
|
|
Face Detection (SP)
|
100% |
2423
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
4428
52.6 IPS |
|
|
Face Detection (Q)
|
100% |
2608
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4713
36.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9073
70.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6697
52.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13077
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22661
29.1 IPS |
|
|
Style Transfer (Q)
|
96% |
19370
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2823
104.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4123
152.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3182
117.5 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
4037
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4015
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2213
38.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4011
69.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4032
69.7 IPS |
