iPad15,7
Geekbench AI Score
2953
Single Precision Score
3098
Half Precision Score
2870
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 20 2025 03:50 AM |
| Views | 4 |
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% |
915
170.2 IPS |
|
|
Image Classification (HP)
|
100% |
510
94.8 IPS |
|
|
Image Classification (Q)
|
96% |
476
88.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2170
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9402
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10283
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9841
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1030
81.7 IPS |
|
|
Object Detection (HP)
|
100% |
894
70.9 IPS |
|
|
Object Detection (Q)
|
92% |
654
52.2 IPS |
|
|
Face Detection (SP)
|
100% |
3560
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
4941
58.7 IPS |
|
|
Face Detection (Q)
|
100% |
4306
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7694
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8239
63.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6880
53.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17492
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19463
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18844
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2816
104.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2799
103.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2558
94.5 IPS |
|
|
Text Classification (SP)
|
100% |
2684
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4780
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4774
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (Q)
|
98% |
838
14.5 IPS |
