iPad15,3
Geekbench AI Score
4173
Single Precision Score
30798
Half Precision Score
34231
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | baokhanhz |
| Upload Date | September 06 2025 06:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1596
296.9 IPS |
|
|
Image Classification (HP)
|
100% |
16348
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
18024
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1905
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22242
360.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27461
445.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8963
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
120890
141.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
120754
141.5 IPS |
|
|
Object Detection (SP)
|
100% |
1809
143.5 IPS |
|
|
Object Detection (HP)
|
100% |
17845
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
20326
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3558
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
39347
467.5 IPS |
|
|
Face Detection (Q)
|
100% |
51634
613.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7189
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
96044
740.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
118914
929.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22488
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
228780
294.1 IPS |
|
|
Style Transfer (Q)
|
96% |
220258
284.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5237
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43934
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50649
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5696
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5628
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3364
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4525
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4718
81.5 IPS |
