iPad15,7
Geekbench AI Score
3123
Single Precision Score
3359
Half Precision Score
3119
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 12 2025 03:04 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1075
199.9 IPS |
|
|
Image Classification (HP)
|
100% |
966
179.7 IPS |
|
|
Image Classification (Q)
|
96% |
897
167.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2229
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9621
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10404
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9985
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (HP)
|
100% |
1073
85.1 IPS |
|
|
Object Detection (Q)
|
92% |
927
74.0 IPS |
|
|
Face Detection (SP)
|
100% |
4725
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
4966
59.0 IPS |
|
|
Face Detection (Q)
|
100% |
4233
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6828
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6341
48.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6315
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17542
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19594
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18964
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2967
109.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2988
110.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2667
98.5 IPS |
|
|
Text Classification (SP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4780
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4781
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
833
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
730
12.6 IPS |
