iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3450
Single Precision Score
26683
Half Precision Score
29304
Quantized Score
Geekbench AI 1.4.0-Beta1 Corporate for iOS AArch64
Result Information
| Upload Date | June 13 2025 02:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1362
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
14842
2.76 KIPS |
|
|
Image Classification (Q)
|
96% |
15805
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19765
320.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24157
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6837
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
102509
119.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105291
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
1539
122.1 IPS |
|
|
Object Detection (HP)
|
99% |
15484
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
16978
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3092
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
33595
399.2 IPS |
|
|
Face Detection (Q)
|
100% |
42539
505.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5554
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87487
674.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
108041
844.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18671
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205568
264.3 IPS |
|
|
Style Transfer (Q)
|
96% |
189657
244.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4044
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39804
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46915
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3823
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3837
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4249
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4377
75.6 IPS |
