iPad15,3
Geekbench AI Score
4014
Single Precision Score
30811
Half Precision Score
34647
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 07:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1522
283.1 IPS |
|
|
Image Classification (HP)
|
100% |
16347
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
18379
3.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21937
355.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27456
445.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8393
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
120700
140.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
120965
141.8 IPS |
|
|
Object Detection (SP)
|
100% |
1720
136.4 IPS |
|
|
Object Detection (HP)
|
100% |
17460
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
20843
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3453
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
38532
457.8 IPS |
|
|
Face Detection (Q)
|
100% |
52061
618.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6966
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
96939
746.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
121493
949.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21984
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
227464
292.4 IPS |
|
|
Style Transfer (Q)
|
96% |
219149
282.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4982
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47688
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54304
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3176
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5592
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5538
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3281
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4504
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4701
81.2 IPS |
