iPad15,7
Geekbench AI Score
3599
Single Precision Score
6209
Half Precision Score
5054
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | EPMandBI |
| Upload Date | September 24 2025 12:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1444
268.5 IPS |
|
|
Image Classification (HP)
|
100% |
2559
475.9 IPS |
|
|
Image Classification (Q)
|
96% |
1754
327.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2646
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7001
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
15354
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13113
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
97% |
2919
232.4 IPS |
|
|
Object Detection (Q)
|
94% |
2072
165.1 IPS |
|
|
Face Detection (SP)
|
100% |
3278
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6068
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3487
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6230
48.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11678
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8002
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19064
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29778
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24502
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4097
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5111
188.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3861
142.6 IPS |
|
|
Text Classification (SP)
|
100% |
2710
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4883
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4837
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3629
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6721
116.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6757
116.8 IPS |
