iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3437
Single Precision Score
26405
Half Precision Score
29163
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 24 2025 01:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1382
257.0 IPS |
|
|
Image Classification (HP)
|
100% |
14504
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
15484
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19453
315.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23995
389.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6823
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
104677
122.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104706
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1529
121.3 IPS |
|
|
Object Detection (HP)
|
99% |
15002
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16948
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3070
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
33060
392.8 IPS |
|
|
Face Detection (Q)
|
100% |
41793
496.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5616
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
85649
659.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
106253
830.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18647
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203998
262.2 IPS |
|
|
Style Transfer (Q)
|
96% |
193438
249.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3942
145.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38947
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46283
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3818
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3798
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3700
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4330
74.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4470
77.2 IPS |
