iPad15,7
Geekbench AI Score
3455
Single Precision Score
22250
Half Precision Score
25179
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 16 2025 02:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
9792
1.82 KIPS |
|
|
Image Classification (Q)
|
97% |
10499
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14191
230.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19222
311.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6512
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
95459
111.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
102275
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
100% |
12527
993.7 IPS |
|
|
Object Detection (Q)
|
91% |
14220
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3231
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
28959
344.1 IPS |
|
|
Face Detection (Q)
|
100% |
40216
477.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5905
45.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
71898
553.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
90172
705.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18831
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
170822
219.6 IPS |
|
|
Style Transfer (Q)
|
96% |
173944
224.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3841
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32603
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38142
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2786
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2179
2.91 KIPS |
|
|
Text Classification (Q)
|
93% |
1763
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3396
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7085
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8227
142.2 IPS |
