iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3467
Single Precision Score
26274
Half Precision Score
29312
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 09:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
14221
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
14677
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1488
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19666
318.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24101
390.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6826
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
103612
120.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106647
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
99% |
15063
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17147
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3168
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
32816
389.9 IPS |
|
|
Face Detection (Q)
|
100% |
41333
491.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5631
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
84610
651.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
108820
850.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18618
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203703
261.9 IPS |
|
|
Style Transfer (Q)
|
96% |
194890
251.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3954
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38629
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48638
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3810
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3782
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4315
74.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4490
77.6 IPS |
