iPad15,7
Geekbench AI Score
3584
Single Precision Score
23206
Half Precision Score
27029
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 10 2025 04:29 PM |
| Views | 2 |
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 | 3.44 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% |
10729
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
12850
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13905
225.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19580
317.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6903
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
103202
120.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104024
121.9 IPS |
|
|
Object Detection (SP)
|
100% |
1616
128.2 IPS |
|
|
Object Detection (HP)
|
100% |
12794
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14747
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
31576
375.2 IPS |
|
|
Face Detection (Q)
|
100% |
40014
475.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6121
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75913
584.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
96811
756.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18947
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
183403
235.8 IPS |
|
|
Style Transfer (Q)
|
96% |
179760
232.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4107
151.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33458
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37258
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2686
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (Q)
|
93% |
2472
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7440
128.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8408
145.3 IPS |
