iPad15,7
Geekbench AI Score
3014
Single Precision Score
2945
Half Precision Score
2932
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | EPMandBI |
| Upload Date | September 24 2025 12:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
1010
187.9 IPS |
|
|
Image Classification (HP)
|
100% |
510
94.9 IPS |
|
|
Image Classification (Q)
|
96% |
555
103.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2283
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2189
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9547
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10333
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9989
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1149
91.1 IPS |
|
|
Object Detection (HP)
|
100% |
904
71.7 IPS |
|
|
Object Detection (Q)
|
92% |
849
67.8 IPS |
|
|
Face Detection (SP)
|
100% |
3553
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (Q)
|
100% |
4045
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6750
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6420
49.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6743
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17653
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19420
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18870
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2687
99.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2877
106.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2532
93.5 IPS |
|
|
Text Classification (SP)
|
100% |
2713
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4872
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4850
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
722
12.5 IPS |
