iPad15,3
Geekbench AI Score
4134
Single Precision Score
31016
Half Precision Score
34875
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 10:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1624
301.9 IPS |
|
|
Image Classification (HP)
|
100% |
17430
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
19881
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1903
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22022
357.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27147
440.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8942
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120719
140.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
120934
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
100% |
18132
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
20506
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3553
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
39218
466.0 IPS |
|
|
Face Detection (Q)
|
100% |
50956
605.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7152
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97909
754.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
124450
973.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22498
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
227290
292.2 IPS |
|
|
Style Transfer (Q)
|
96% |
219637
283.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5264
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46799
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56109
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5284
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5364
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3268
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4545
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4744
82.0 IPS |
