iPad15,7
Geekbench AI Score
2883
Single Precision Score
3376
Half Precision Score
2956
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 13 2025 10:19 AM |
| Views | 1 |
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% |
525
97.5 IPS |
|
|
Image Classification (HP)
|
100% |
970
180.4 IPS |
|
|
Image Classification (Q)
|
96% |
478
89.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2301
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9377
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10265
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9796
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1002
79.5 IPS |
|
|
Object Detection (HP)
|
100% |
908
72.0 IPS |
|
|
Object Detection (Q)
|
92% |
881
70.3 IPS |
|
|
Face Detection (SP)
|
100% |
4943
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
5023
59.7 IPS |
|
|
Face Detection (Q)
|
100% |
4305
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7214
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7771
59.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6380
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17550
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19581
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18930
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2746
101.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2883
106.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2564
94.7 IPS |
|
|
Text Classification (SP)
|
100% |
2856
3.81 KIPS |
|
|
Text Classification (HP)
|
99% |
4820
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4811
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
688
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
839
14.5 IPS |
