iPad15,3
Geekbench AI Score
4038
Single Precision Score
30520
Half Precision Score
34527
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 31 2025 02:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1609
299.2 IPS |
|
|
Image Classification (HP)
|
100% |
17533
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
21769
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21823
353.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26307
426.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8803
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
121376
141.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
122100
143.1 IPS |
|
|
Object Detection (SP)
|
100% |
1763
139.8 IPS |
|
|
Object Detection (HP)
|
100% |
18596
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
19999
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
3514
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
32875
390.6 IPS |
|
|
Face Detection (Q)
|
100% |
46668
554.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6869
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
97524
751.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
121318
948.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22269
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
229500
295.0 IPS |
|
|
Style Transfer (Q)
|
96% |
221586
285.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4815
177.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44796
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54291
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5433
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5458
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4535
78.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4632
80.0 IPS |
