iPad15,3
Geekbench AI Score
2545
Single Precision Score
20173
Half Precision Score
21603
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 02:08 PM |
| Views | 3 |
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 | 2.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
966
179.7 IPS |
|
|
Image Classification (HP)
|
100% |
10685
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
12127
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14853
240.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18076
293.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5436
6.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
75340
87.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
75787
88.8 IPS |
|
|
Object Detection (SP)
|
100% |
1118
88.7 IPS |
|
|
Object Detection (HP)
|
100% |
13852
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
12565
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
2232
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
25623
304.5 IPS |
|
|
Face Detection (Q)
|
100% |
27671
328.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4297
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
57130
440.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
70343
550.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13404
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
148163
190.5 IPS |
|
|
Style Transfer (Q)
|
96% |
150516
194.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3270
120.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30306
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34754
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
1898
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3290
4.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2095
36.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3167
54.7 IPS |
