iPad15,7
Geekbench AI Score
3459
Single Precision Score
22513
Half Precision Score
25132
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 22 2025 02:01 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1362
253.3 IPS |
|
|
Image Classification (HP)
|
100% |
9604
1.79 KIPS |
|
|
Image Classification (Q)
|
97% |
11133
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14082
228.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19095
309.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6489
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
95755
111.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102109
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
100% |
12304
975.9 IPS |
|
|
Object Detection (Q)
|
91% |
14683
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3262
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
31390
373.0 IPS |
|
|
Face Detection (Q)
|
100% |
39672
471.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5977
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71761
552.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
90434
707.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18803
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
168045
216.0 IPS |
|
|
Style Transfer (Q)
|
96% |
172604
222.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3850
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32460
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35812
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2753
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
2398
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
1753
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7124
122.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8114
140.2 IPS |
