iPad15,7
Geekbench AI Score
3418
Single Precision Score
6250
Half Precision Score
5095
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 11:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1347
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
2611
485.6 IPS |
|
|
Image Classification (Q)
|
96% |
1812
338.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2668
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6215
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
14799
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12664
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.5 IPS |
|
|
Object Detection (HP)
|
97% |
2933
233.5 IPS |
|
|
Object Detection (Q)
|
94% |
2107
168.0 IPS |
|
|
Face Detection (SP)
|
100% |
3219
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
6224
73.9 IPS |
|
|
Face Detection (Q)
|
100% |
3542
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5881
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11660
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8110
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18223
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29097
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24175
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3811
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5133
189.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3926
145.0 IPS |
|
|
Text Classification (SP)
|
100% |
2775
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4950
6.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4770
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7084
122.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7034
121.6 IPS |
