iPad15,7
Geekbench AI Score
3501
Single Precision Score
23642
Half Precision Score
27163
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 12 2025 09:19 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1449
269.4 IPS |
|
|
Image Classification (HP)
|
100% |
10075
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
12235
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16065
260.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19114
309.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6113
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
101423
118.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
103135
120.9 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.7 IPS |
|
|
Object Detection (HP)
|
100% |
12851
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14991
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
3224
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
31542
374.8 IPS |
|
|
Face Detection (Q)
|
100% |
39471
469.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5863
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
76237
587.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
96816
757.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17465
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
182136
234.1 IPS |
|
|
Style Transfer (Q)
|
96% |
182767
235.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4056
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32684
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38641
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
2691
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2424
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2704
3.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3629
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7455
128.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8288
143.2 IPS |
