iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3282
Single Precision Score
24948
Half Precision Score
27502
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 21 2025 02:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
13581
2.53 KIPS |
|
|
Image Classification (Q)
|
96% |
15683
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1504
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19328
313.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
22534
365.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6434
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
93166
108.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
97589
114.4 IPS |
|
|
Object Detection (SP)
|
100% |
1024
81.2 IPS |
|
|
Object Detection (HP)
|
99% |
14489
1.15 KIPS |
|
|
Object Detection (Q)
|
91% |
16979
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3105
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
32620
387.6 IPS |
|
|
Face Detection (Q)
|
100% |
41033
487.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5561
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
85107
655.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
94179
736.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18632
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204083
262.4 IPS |
|
|
Style Transfer (Q)
|
96% |
190333
245.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3974
146.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38391
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46078
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3818
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3760
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3645
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3175
54.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3318
57.3 IPS |
