iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3455
Single Precision Score
26405
Half Precision Score
29073
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 06:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
14444
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
14936
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19537
316.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24114
390.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6849
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
105418
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106590
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
1545
122.5 IPS |
|
|
Object Detection (HP)
|
99% |
14991
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16975
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32988
392.0 IPS |
|
|
Face Detection (Q)
|
100% |
40988
487.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5668
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
84826
653.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
105279
822.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18665
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201209
258.7 IPS |
|
|
Style Transfer (Q)
|
96% |
193231
249.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3945
145.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39636
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46864
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3849
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3824
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3747
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4302
74.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4431
76.6 IPS |
