iPad15,7
Geekbench AI Score
3609
Single Precision Score
22708
Half Precision Score
26001
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 01:26 AM |
| Views | 2 |
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% |
1454
270.5 IPS |
|
|
Image Classification (HP)
|
100% |
9427
1.75 KIPS |
|
|
Image Classification (Q)
|
97% |
10618
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13875
224.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19130
310.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6661
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
96800
112.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
103575
121.4 IPS |
|
|
Object Detection (SP)
|
100% |
1598
126.7 IPS |
|
|
Object Detection (HP)
|
100% |
12362
980.5 IPS |
|
|
Object Detection (Q)
|
91% |
14630
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3354
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
30276
359.7 IPS |
|
|
Face Detection (Q)
|
100% |
38993
463.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6163
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
71896
553.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
91928
718.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18534
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
174460
224.3 IPS |
|
|
Style Transfer (Q)
|
96% |
174787
225.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4074
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34390
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35341
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2824
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2495
3.33 KIPS |
|
|
Text Classification (Q)
|
93% |
2527
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3743
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7151
123.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8201
141.7 IPS |
