iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3201
Single Precision Score
24668
Half Precision Score
25753
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% |
1366
254.0 IPS |
|
|
Image Classification (HP)
|
100% |
12886
2.40 KIPS |
|
|
Image Classification (Q)
|
96% |
14583
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1076
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19448
315.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
14069
228.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6647
7.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
101030
117.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106711
125.1 IPS |
|
|
Object Detection (SP)
|
100% |
1526
121.0 IPS |
|
|
Object Detection (HP)
|
99% |
14955
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
11928
953.1 IPS |
|
|
Face Detection (SP)
|
100% |
2303
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
32407
385.1 IPS |
|
|
Face Detection (Q)
|
100% |
41541
493.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5582
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
76393
588.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
105126
821.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18559
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201992
259.7 IPS |
|
|
Style Transfer (Q)
|
96% |
194439
250.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3950
145.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36644
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46111
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
2251
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3788
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3784
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3578
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3175
54.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3317
57.3 IPS |
