iPad15,7
Geekbench AI Score
2989
Single Precision Score
3240
Half Precision Score
2756
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 20 2025 03:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
845
157.2 IPS |
|
|
Image Classification (HP)
|
100% |
841
156.4 IPS |
|
|
Image Classification (Q)
|
96% |
476
88.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2217
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9396
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10320
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9899
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1022
81.1 IPS |
|
|
Object Detection (HP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (Q)
|
92% |
899
71.8 IPS |
|
|
Face Detection (SP)
|
100% |
4763
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
4933
58.6 IPS |
|
|
Face Detection (Q)
|
100% |
4306
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7225
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7700
59.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6685
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17493
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19397
24.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18996
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2741
101.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2838
104.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1437
53.1 IPS |
|
|
Text Classification (SP)
|
100% |
2694
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4776
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4765
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
720
12.4 IPS |
