iPad Pro M2 iPad14,4
Geekbench AI Score
3323
Single Precision Score
6044
Half Precision Score
4921
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Kenzmllr |
| Upload Date | September 17 2025 11:24 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
2542
472.7 IPS |
|
|
Image Classification (Q)
|
96% |
1767
329.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2391
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2792
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6302
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
15143
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13024
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1424
112.9 IPS |
|
|
Object Detection (HP)
|
97% |
2811
223.8 IPS |
|
|
Object Detection (Q)
|
94% |
2043
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
3072
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6008
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3471
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5445
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10984
84.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7747
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18042
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28451
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23618
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3809
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5046
186.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3730
137.7 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3900
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3910
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3592
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6806
117.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6852
118.4 IPS |
