iPad15,7
Geekbench AI Score
3060
Single Precision Score
3274
Half Precision Score
2833
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 25 2025 11:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
900
167.3 IPS |
|
|
Image Classification (HP)
|
100% |
816
151.8 IPS |
|
|
Image Classification (Q)
|
96% |
478
89.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2382
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2415
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2259
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9379
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10312
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9733
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
932
73.9 IPS |
|
|
Object Detection (HP)
|
100% |
914
72.5 IPS |
|
|
Object Detection (Q)
|
92% |
688
54.9 IPS |
|
|
Face Detection (SP)
|
100% |
4926
58.5 IPS |
|
|
Face Detection (HP)
|
100% |
4776
56.8 IPS |
|
|
Face Detection (Q)
|
100% |
4301
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7220
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7813
60.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6029
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17590
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19556
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18911
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2783
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2896
106.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2603
96.1 IPS |
|
|
Text Classification (SP)
|
100% |
2813
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4907
6.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4801
6.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
785
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
753
13.0 IPS |
