iPad15,7
Geekbench AI Score
3091
Single Precision Score
3489
Half Precision Score
3277
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Reseller777 |
| Upload Date | November 27 2025 04:37 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1078
200.4 IPS |
|
|
Image Classification (HP)
|
100% |
1016
189.0 IPS |
|
|
Image Classification (Q)
|
96% |
951
177.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2289
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9671
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10598
12.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
10359
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1073
85.1 IPS |
|
|
Object Detection (HP)
|
100% |
1116
88.5 IPS |
|
|
Object Detection (Q)
|
92% |
940
75.1 IPS |
|
|
Face Detection (SP)
|
100% |
3823
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
5179
61.5 IPS |
|
|
Face Detection (Q)
|
100% |
4027
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7276
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6930
53.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6935
54.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17905
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
19890
25.6 IPS |
|
|
Style Transfer (Q)
|
96% |
19344
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2891
106.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3011
111.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2802
103.5 IPS |
|
|
Text Classification (SP)
|
100% |
2742
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5029
6.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5004
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
891
15.4 IPS |
