iPad15,7
Geekbench AI Score
3548
Single Precision Score
22500
Half Precision Score
25745
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 01:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1439
267.6 IPS |
|
|
Image Classification (HP)
|
100% |
9575
1.78 KIPS |
|
|
Image Classification (Q)
|
97% |
12823
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13604
220.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18341
297.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6687
7.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
95612
111.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
102509
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
1588
125.9 IPS |
|
|
Object Detection (HP)
|
100% |
13159
1.04 KIPS |
|
|
Object Detection (Q)
|
91% |
14894
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3309
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
30511
362.5 IPS |
|
|
Face Detection (Q)
|
100% |
38557
458.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6070
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
76376
588.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
97496
762.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18701
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
171596
220.6 IPS |
|
|
Style Transfer (Q)
|
96% |
174077
224.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4169
153.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33166
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37242
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2625
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
2060
2.75 KIPS |
|
|
Text Classification (Q)
|
93% |
1757
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7429
128.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8322
143.8 IPS |
