iPad15,7
Geekbench AI Score
3610
Single Precision Score
6276
Half Precision Score
5122
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 01:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1455
270.6 IPS |
|
|
Image Classification (HP)
|
100% |
2625
488.2 IPS |
|
|
Image Classification (Q)
|
96% |
1808
337.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2675
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6708
7.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
15030
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12762
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
97% |
2946
234.6 IPS |
|
|
Object Detection (Q)
|
94% |
2115
168.6 IPS |
|
|
Face Detection (SP)
|
100% |
3363
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
6194
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3525
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6167
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11741
90.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8160
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18676
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29895
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24758
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4082
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5129
189.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3900
144.0 IPS |
|
|
Text Classification (SP)
|
100% |
2819
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4825
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4744
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3745
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7188
124.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7227
124.9 IPS |
