iPad15,7
Geekbench AI Score
2820
Single Precision Score
3257
Half Precision Score
3118
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 02:57 AM |
| Views | 2 |
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% |
592
110.0 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.9 IPS |
|
|
Image Classification (Q)
|
96% |
906
169.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2390
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2282
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9314
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10404
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9773
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
940
74.6 IPS |
|
|
Object Detection (HP)
|
100% |
932
73.9 IPS |
|
|
Object Detection (Q)
|
92% |
808
64.5 IPS |
|
|
Face Detection (SP)
|
100% |
3748
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
5177
61.5 IPS |
|
|
Face Detection (Q)
|
100% |
4316
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7222
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7821
60.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6460
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17550
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19546
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18938
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2771
102.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2884
106.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2512
92.8 IPS |
|
|
Text Classification (SP)
|
100% |
2805
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4896
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4709
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
853
14.7 IPS |
