iPad15,7
Geekbench AI Score
3543
Single Precision Score
23133
Half Precision Score
26929
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 12:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1437
267.3 IPS |
|
|
Image Classification (HP)
|
100% |
10430
1.94 KIPS |
|
|
Image Classification (Q)
|
97% |
12093
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14558
236.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19317
313.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6648
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
98024
114.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
101925
119.5 IPS |
|
|
Object Detection (SP)
|
100% |
1608
127.5 IPS |
|
|
Object Detection (HP)
|
100% |
12914
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14618
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3195
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
31524
374.6 IPS |
|
|
Face Detection (Q)
|
100% |
39873
473.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6044
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
75283
580.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
96966
758.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18205
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
181636
233.5 IPS |
|
|
Style Transfer (Q)
|
96% |
179021
231.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4067
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32990
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38482
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
2696
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (Q)
|
93% |
2563
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3628
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7582
130.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8442
145.9 IPS |
