iPad15,3
Geekbench AI Score
4021
Single Precision Score
30849
Half Precision Score
34777
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | decryp7 |
| Upload Date | November 07 2025 08:41 AM |
| Views | 4 |
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 | 3.78 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
283.0 IPS |
|
|
Image Classification (HP)
|
100% |
16322
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
19611
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22017
356.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27358
443.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8416
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
120934
141.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
121093
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.7 IPS |
|
|
Object Detection (HP)
|
100% |
17361
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
20248
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3470
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
39653
471.2 IPS |
|
|
Face Detection (Q)
|
100% |
52072
618.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6980
53.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96866
746.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
121464
949.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22062
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
228165
293.3 IPS |
|
|
Style Transfer (Q)
|
96% |
220766
284.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4984
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47702
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54244
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3177
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5498
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5528
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3286
56.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4502
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4699
81.2 IPS |
