iPad15,7
Geekbench AI Score
2971
Single Precision Score
3271
Half Precision Score
3038
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | July 21 2025 02:32 AM |
| Views | 3 |
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 | 5.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
702
130.5 IPS |
|
|
Image Classification (HP)
|
100% |
859
159.8 IPS |
|
|
Image Classification (Q)
|
96% |
874
163.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2363
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2369
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2272
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9447
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10324
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9723
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1032
81.9 IPS |
|
|
Object Detection (HP)
|
100% |
861
68.3 IPS |
|
|
Object Detection (Q)
|
92% |
727
58.0 IPS |
|
|
Face Detection (SP)
|
100% |
4904
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
5132
61.0 IPS |
|
|
Face Detection (Q)
|
100% |
4306
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7114
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7755
59.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6624
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17550
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19535
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18989
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2823
104.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2872
106.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2456
90.7 IPS |
|
|
Text Classification (SP)
|
100% |
2769
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4750
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4729
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (Q)
|
98% |
760
13.1 IPS |
