iPad15,7
Geekbench AI Score
3585
Single Precision Score
6292
Half Precision Score
5104
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 11:11 AM |
| Views | 5 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1449
269.5 IPS |
|
|
Image Classification (HP)
|
100% |
2639
490.7 IPS |
|
|
Image Classification (Q)
|
96% |
1807
337.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1464
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2671
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6635
7.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
14886
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12659
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.3 IPS |
|
|
Object Detection (HP)
|
97% |
2940
234.0 IPS |
|
|
Object Detection (Q)
|
94% |
2099
167.3 IPS |
|
|
Face Detection (SP)
|
100% |
3336
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
6169
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
3511
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6088
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11724
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8155
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18482
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
29854
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24700
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4051
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5401
199.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3910
144.4 IPS |
|
|
Text Classification (SP)
|
100% |
2782
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4814
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4756
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3737
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7119
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7126
123.1 IPS |
