iPad15,7
Geekbench AI Score
2887
Single Precision Score
3082
Half Precision Score
2903
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | June 03 2025 07:08 PM |
| Views | 3 |
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% |
653
121.5 IPS |
|
|
Image Classification (HP)
|
100% |
582
108.2 IPS |
|
|
Image Classification (Q)
|
96% |
853
159.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2400
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2259
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9432
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10281
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9884
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
995
78.9 IPS |
|
|
Object Detection (HP)
|
100% |
886
70.3 IPS |
|
|
Object Detection (Q)
|
92% |
874
69.8 IPS |
|
|
Face Detection (SP)
|
100% |
3696
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
5131
61.0 IPS |
|
|
Face Detection (Q)
|
100% |
4005
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7176
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6597
50.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6631
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17403
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19424
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18838
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2812
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2757
101.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1474
54.4 IPS |
|
|
Text Classification (SP)
|
100% |
2695
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4793
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4785
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
725
12.5 IPS |
