iPad15,7
Geekbench AI Score
3576
Single Precision Score
6262
Half Precision Score
5131
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 01:21 AM |
| Views | 4 |
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% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
2624
487.9 IPS |
|
|
Image Classification (Q)
|
96% |
1828
341.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6675
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
15264
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12658
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2947
234.6 IPS |
|
|
Object Detection (Q)
|
94% |
2102
167.5 IPS |
|
|
Face Detection (SP)
|
100% |
3353
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
6126
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
3510
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6080
46.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11754
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8144
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18571
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29841
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24695
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4011
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5104
188.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3925
144.9 IPS |
|
|
Text Classification (SP)
|
100% |
2818
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4791
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4908
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3696
63.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7120
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7156
123.7 IPS |
