iPad15,3
Geekbench AI Score
8111
Single Precision Score
9247
Half Precision Score
8671
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | zachking |
| Upload Date | August 17 2025 04:18 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4017
747.1 IPS |
|
|
Image Classification (HP)
|
100% |
4241
788.8 IPS |
|
|
Image Classification (Q)
|
96% |
3884
725.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6170
100.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6428
104.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6264
101.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22935
26.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
23636
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23345
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
4233
335.8 IPS |
|
|
Object Detection (HP)
|
100% |
4653
369.1 IPS |
|
|
Object Detection (Q)
|
92% |
4231
337.8 IPS |
|
|
Face Detection (SP)
|
100% |
11199
133.1 IPS |
|
|
Face Detection (HP)
|
100% |
14350
170.5 IPS |
|
|
Face Detection (Q)
|
100% |
11569
137.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18228
140.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19186
147.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
17763
138.7 IPS |
|
|
Style Transfer (SP)
|
100% |
48790
62.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54068
69.5 IPS |
|
|
Style Transfer (Q)
|
96% |
52827
68.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10398
383.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10218
377.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9061
334.6 IPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5325
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5299
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1672
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1884
32.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1919
33.2 IPS |
