iPad Pro (11-inch, 4th generation)
Geekbench AI Score
7477
Single Precision Score
8316
Half Precision Score
7658
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 21 2025 02:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3653
679.3 IPS |
|
|
Image Classification (HP)
|
100% |
3671
682.6 IPS |
|
|
Image Classification (Q)
|
96% |
3394
633.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5712
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5874
95.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5603
90.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24662
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26342
30.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
25445
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3654
289.9 IPS |
|
|
Object Detection (HP)
|
100% |
3713
294.5 IPS |
|
|
Object Detection (Q)
|
92% |
3384
270.1 IPS |
|
|
Face Detection (SP)
|
100% |
10334
122.8 IPS |
|
|
Face Detection (HP)
|
100% |
12029
142.9 IPS |
|
|
Face Detection (Q)
|
100% |
9938
118.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16778
129.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17826
137.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
16175
126.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42999
55.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48590
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
47080
60.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9773
360.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10144
374.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8677
320.4 IPS |
|
|
Text Classification (SP)
|
100% |
2244
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3859
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3769
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1777
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1839
31.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1712
29.6 IPS |
