iPad15,3
Geekbench AI Score
8181
Single Precision Score
9311
Half Precision Score
8720
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 04:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4024
748.3 IPS |
|
|
Image Classification (HP)
|
100% |
4236
787.8 IPS |
|
|
Image Classification (Q)
|
96% |
3858
720.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6252
101.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6462
104.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6275
101.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22909
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23633
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23318
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
4208
333.8 IPS |
|
|
Object Detection (HP)
|
100% |
4617
366.2 IPS |
|
|
Object Detection (Q)
|
92% |
4220
336.8 IPS |
|
|
Face Detection (SP)
|
100% |
11426
135.8 IPS |
|
|
Face Detection (HP)
|
100% |
14330
170.3 IPS |
|
|
Face Detection (Q)
|
100% |
11560
137.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18220
140.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
19166
147.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
17760
138.7 IPS |
|
|
Style Transfer (SP)
|
100% |
48182
61.9 IPS |
|
|
Style Transfer (HP)
|
100% |
54080
69.5 IPS |
|
|
Style Transfer (Q)
|
96% |
52796
68.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10214
377.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8975
331.4 IPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5319
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5272
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1804
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2034
35.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2082
36.0 IPS |
