iPad15,7
Geekbench AI Score
3601
Single Precision Score
22210
Half Precision Score
24099
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 08 2025 03:10 AM |
| Views | 6 |
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% |
1452
270.0 IPS |
|
|
Image Classification (HP)
|
100% |
8956
1.67 KIPS |
|
|
Image Classification (Q)
|
97% |
10107
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14023
227.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19021
308.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6689
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
97276
113.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
102005
119.6 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.3 IPS |
|
|
Object Detection (HP)
|
100% |
12379
981.9 IPS |
|
|
Object Detection (Q)
|
91% |
14595
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3227
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
30755
365.4 IPS |
|
|
Face Detection (Q)
|
100% |
38851
461.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6220
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
71486
550.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
88018
688.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18800
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
170182
218.8 IPS |
|
|
Style Transfer (Q)
|
96% |
173525
223.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4051
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32608
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34736
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2813
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (Q)
|
93% |
1387
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3755
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7125
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8077
139.6 IPS |
