iPad15,7
Geekbench AI Score
3583
Single Precision Score
22299
Half Precision Score
25380
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 03:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1426
265.2 IPS |
|
|
Image Classification (HP)
|
100% |
8848
1.65 KIPS |
|
|
Image Classification (Q)
|
97% |
10577
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16213
262.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19183
311.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6567
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
98736
115.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
102051
119.6 IPS |
|
|
Object Detection (SP)
|
100% |
1608
127.6 IPS |
|
|
Object Detection (HP)
|
100% |
12667
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
14634
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
31025
368.6 IPS |
|
|
Face Detection (Q)
|
100% |
39003
463.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6137
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
71343
549.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
89259
697.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18483
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
169805
218.3 IPS |
|
|
Style Transfer (Q)
|
96% |
174588
225.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4012
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33365
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35984
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2818
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1909
2.55 KIPS |
|
|
Text Classification (Q)
|
93% |
2043
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7079
121.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8192
141.6 IPS |
