iPad15,3
Geekbench AI Score
8188
Single Precision Score
9360
Half Precision Score
8628
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 10:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
4028
749.0 IPS |
|
|
Image Classification (HP)
|
100% |
4236
787.7 IPS |
|
|
Image Classification (Q)
|
96% |
3862
721.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6193
100.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6446
104.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6262
101.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22919
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23991
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23427
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
4184
331.9 IPS |
|
|
Object Detection (HP)
|
100% |
4614
366.0 IPS |
|
|
Object Detection (Q)
|
92% |
4213
336.3 IPS |
|
|
Face Detection (SP)
|
100% |
11407
135.5 IPS |
|
|
Face Detection (HP)
|
100% |
14335
170.3 IPS |
|
|
Face Detection (Q)
|
100% |
11581
137.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18210
140.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
19771
152.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
18126
141.7 IPS |
|
|
Style Transfer (SP)
|
100% |
48284
62.1 IPS |
|
|
Style Transfer (HP)
|
100% |
54987
70.7 IPS |
|
|
Style Transfer (Q)
|
96% |
53330
68.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10418
384.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11364
419.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9728
359.2 IPS |
|
|
Text Classification (SP)
|
100% |
2926
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5322
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5266
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1853
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1812
31.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1671
28.9 IPS |
