iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3454
Single Precision Score
26356
Half Precision Score
29248
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | deleavell |
| Upload Date | December 29 2025 10:11 PM |
| Views | 3 |
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 | iPad14,3 |
| 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% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
14805
2.75 KIPS |
|
|
Image Classification (Q)
|
96% |
15367
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1488
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19419
314.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24015
389.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6850
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
101935
118.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104806
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1530
121.3 IPS |
|
|
Object Detection (HP)
|
99% |
15129
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17089
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32861
390.5 IPS |
|
|
Face Detection (Q)
|
100% |
41675
495.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5598
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
84754
653.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
108568
848.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18681
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202244
260.0 IPS |
|
|
Style Transfer (Q)
|
96% |
193738
250.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3963
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39270
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46595
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3815
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3782
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3733
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4323
74.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4487
77.5 IPS |
