iPad15,7
Geekbench AI Score
3646
Single Precision Score
22136
Half Precision Score
24797
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 10:37 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1451
269.9 IPS |
|
|
Image Classification (HP)
|
100% |
8861
1.65 KIPS |
|
|
Image Classification (Q)
|
97% |
10515
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16215
262.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
19188
311.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7047
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
99375
116.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
102411
120.0 IPS |
|
|
Object Detection (SP)
|
100% |
1606
127.4 IPS |
|
|
Object Detection (HP)
|
100% |
12386
982.5 IPS |
|
|
Object Detection (Q)
|
91% |
14520
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3350
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
29616
351.9 IPS |
|
|
Face Detection (Q)
|
100% |
37606
446.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6175
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
71893
553.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
88931
695.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19312
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
172662
222.0 IPS |
|
|
Style Transfer (Q)
|
96% |
173059
223.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4091
151.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32830
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35728
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2827
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1870
2.50 KIPS |
|
|
Text Classification (Q)
|
93% |
1735
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3713
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7080
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8168
141.1 IPS |
