iPad15,7
Geekbench AI Score
3434
Single Precision Score
22135
Half Precision Score
24990
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 11 2025 03:06 AM |
| Views | 2 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1350
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
9039
1.68 KIPS |
|
|
Image Classification (Q)
|
97% |
11824
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16210
262.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19133
310.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6473
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
95638
111.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102075
119.6 IPS |
|
|
Object Detection (SP)
|
100% |
1489
118.1 IPS |
|
|
Object Detection (HP)
|
100% |
12326
977.7 IPS |
|
|
Object Detection (Q)
|
91% |
14562
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
30903
367.2 IPS |
|
|
Face Detection (Q)
|
100% |
39898
474.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5890
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
71444
550.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
90085
704.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18703
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
168923
217.2 IPS |
|
|
Style Transfer (Q)
|
96% |
171288
221.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3855
142.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32618
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34915
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2784
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1885
2.52 KIPS |
|
|
Text Classification (Q)
|
93% |
1604
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3391
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7129
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8193
141.6 IPS |
