iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3455
Single Precision Score
26445
Half Precision Score
29202
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | February 12 2026 01:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.3 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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% |
1407
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
14363
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
14789
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19628
318.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23988
388.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6840
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
105300
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106431
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1545
122.5 IPS |
|
|
Object Detection (HP)
|
99% |
15719
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17106
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3155
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32859
390.4 IPS |
|
|
Face Detection (Q)
|
100% |
41342
491.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5582
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
84554
651.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
109462
855.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18460
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
200822
258.2 IPS |
|
|
Style Transfer (Q)
|
96% |
194588
251.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3953
146.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38623
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46587
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3885
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3844
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4283
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4429
76.5 IPS |
