iPad15,3
Geekbench AI Score
8293
Single Precision Score
9213
Half Precision Score
8715
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 09 2025 10:51 AM |
| Views | 3 |
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% |
4029
749.2 IPS |
|
|
Image Classification (HP)
|
100% |
4236
787.8 IPS |
|
|
Image Classification (Q)
|
96% |
3862
721.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6253
101.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6443
104.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6233
101.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22921
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23626
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23340
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
4195
332.7 IPS |
|
|
Object Detection (HP)
|
100% |
4639
367.9 IPS |
|
|
Object Detection (Q)
|
92% |
4212
336.2 IPS |
|
|
Face Detection (SP)
|
100% |
11415
135.6 IPS |
|
|
Face Detection (HP)
|
100% |
14311
170.1 IPS |
|
|
Face Detection (Q)
|
100% |
11565
137.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18242
140.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19202
147.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
17767
138.8 IPS |
|
|
Style Transfer (SP)
|
100% |
48213
62.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54049
69.5 IPS |
|
|
Style Transfer (Q)
|
96% |
52800
68.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10413
384.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10170
375.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8975
331.4 IPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5413
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5270
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2053
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1803
31.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2082
36.0 IPS |
