iPad15,3
Geekbench AI Score
2405
Single Precision Score
22116
Half Precision Score
29256
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 07:42 AM |
| Views | 2 |
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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
600
111.5 IPS |
|
|
Image Classification (HP)
|
100% |
10065
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
17717
3.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
998
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17055
276.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20109
326.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4715
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
103901
121.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
97751
114.6 IPS |
|
|
Object Detection (SP)
|
100% |
1040
82.5 IPS |
|
|
Object Detection (HP)
|
100% |
12995
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
18821
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
2110
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
25244
299.9 IPS |
|
|
Face Detection (Q)
|
100% |
42207
501.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4271
32.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
75513
581.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
109936
859.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12674
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203906
262.1 IPS |
|
|
Style Transfer (Q)
|
96% |
206616
266.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3239
119.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42127
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49499
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
3104
4.14 KIPS |
|
|
Text Classification (HP)
|
99% |
2967
3.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3885
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1922
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2487
42.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3802
65.7 IPS |
