iPad15,7
Geekbench AI Score
3449
Single Precision Score
22358
Half Precision Score
24629
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 06:33 PM |
| Views | 4 |
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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1356
252.1 IPS |
|
|
Image Classification (HP)
|
100% |
8932
1.66 KIPS |
|
|
Image Classification (Q)
|
97% |
10332
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14280
231.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19261
312.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6414
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
97471
113.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
102258
119.9 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.2 IPS |
|
|
Object Detection (HP)
|
100% |
12505
991.9 IPS |
|
|
Object Detection (Q)
|
91% |
14478
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
3231
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
30264
359.6 IPS |
|
|
Face Detection (Q)
|
100% |
38107
452.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5986
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
71449
550.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
89918
703.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18675
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
170926
219.7 IPS |
|
|
Style Transfer (Q)
|
96% |
171428
221.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3837
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32669
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35128
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2771
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
1643
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3425
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7070
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8224
142.1 IPS |
