iPad15,7
Geekbench AI Score
2904
Single Precision Score
3275
Half Precision Score
3095
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 01 2025 12:30 PM |
| Views | 6 |
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% |
524
97.5 IPS |
|
|
Image Classification (HP)
|
100% |
835
155.2 IPS |
|
|
Image Classification (Q)
|
96% |
898
167.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2340
37.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9462
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10291
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9775
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1082
85.8 IPS |
|
|
Object Detection (HP)
|
100% |
908
72.0 IPS |
|
|
Object Detection (Q)
|
92% |
832
66.4 IPS |
|
|
Face Detection (SP)
|
100% |
4813
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
4972
59.1 IPS |
|
|
Face Detection (Q)
|
100% |
4331
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7287
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7776
59.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6110
47.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17548
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19559
25.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18984
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2800
103.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2787
102.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2570
94.9 IPS |
|
|
Text Classification (SP)
|
100% |
2835
3.78 KIPS |
|
|
Text Classification (HP)
|
99% |
4792
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4874
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (Q)
|
98% |
750
13.0 IPS |
