iPad15,7
Geekbench AI Score
3598
Single Precision Score
22353
Half Precision Score
25977
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 01:26 AM |
| Views | 10 |
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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1461
271.7 IPS |
|
|
Image Classification (HP)
|
100% |
8629
1.60 KIPS |
|
|
Image Classification (Q)
|
97% |
11729
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14598
236.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19196
311.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6536
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
97049
113.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
103378
121.2 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
12385
982.4 IPS |
|
|
Object Detection (Q)
|
91% |
14549
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3359
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
30908
367.3 IPS |
|
|
Face Detection (Q)
|
100% |
39209
465.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6173
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
71129
548.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
88636
693.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18408
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
173342
222.8 IPS |
|
|
Style Transfer (Q)
|
96% |
172894
223.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4073
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33205
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34733
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2813
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (Q)
|
93% |
2404
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3730
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7006
120.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8236
142.3 IPS |
