iPad15,7
Geekbench AI Score
3615
Single Precision Score
21974
Half Precision Score
24329
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 02 2025 02:46 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% |
1408
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
8695
1.62 KIPS |
|
|
Image Classification (Q)
|
97% |
10620
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14476
234.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19051
308.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6915
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
96783
112.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102563
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
1611
127.8 IPS |
|
|
Object Detection (HP)
|
100% |
12652
1.00 KIPS |
|
|
Object Detection (Q)
|
91% |
14913
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3309
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
30771
365.6 IPS |
|
|
Face Detection (Q)
|
100% |
38690
459.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6110
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71761
552.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
88090
688.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19166
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
168710
216.9 IPS |
|
|
Style Transfer (Q)
|
96% |
173188
223.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4084
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32728
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35419
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2813
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1932
2.58 KIPS |
|
|
Text Classification (Q)
|
93% |
1390
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3742
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7232
124.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8079
139.6 IPS |
