iPad15,7
Geekbench AI Score
3637
Single Precision Score
22052
Half Precision Score
24833
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 01 2025 12:32 PM |
| Views | 8 |
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% |
1446
268.9 IPS |
|
|
Image Classification (HP)
|
100% |
9237
1.72 KIPS |
|
|
Image Classification (Q)
|
97% |
10358
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14651
237.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19297
312.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6900
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
97596
113.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102149
119.7 IPS |
|
|
Object Detection (SP)
|
100% |
1610
127.7 IPS |
|
|
Object Detection (HP)
|
100% |
12274
973.6 IPS |
|
|
Object Detection (Q)
|
91% |
14117
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3344
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
30944
367.7 IPS |
|
|
Face Detection (Q)
|
100% |
39132
465.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6231
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71341
549.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
89016
696.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19217
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
170949
219.8 IPS |
|
|
Style Transfer (Q)
|
96% |
173336
223.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4075
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32723
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35671
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
2814
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1948
2.60 KIPS |
|
|
Text Classification (Q)
|
93% |
1746
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3719
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6974
120.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8229
142.2 IPS |
