iPad15,7
Geekbench AI Score
3046
Single Precision Score
3360
Half Precision Score
3061
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 10:54 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1134
210.9 IPS |
|
|
Image Classification (HP)
|
100% |
1023
190.3 IPS |
|
|
Image Classification (Q)
|
96% |
620
115.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2215
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9516
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10424
12.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10162
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1082
85.8 IPS |
|
|
Object Detection (HP)
|
100% |
1046
83.0 IPS |
|
|
Object Detection (Q)
|
92% |
967
77.2 IPS |
|
|
Face Detection (SP)
|
100% |
3410
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
5040
59.9 IPS |
|
|
Face Detection (Q)
|
100% |
4067
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6911
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6623
51.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6581
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17612
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19510
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18929
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2857
105.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3005
111.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2589
95.6 IPS |
|
|
Text Classification (SP)
|
100% |
2741
3.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4791
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4761
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (Q)
|
98% |
859
14.8 IPS |
