iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3450
Single Precision Score
5940
Half Precision Score
4805
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:28 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
2526
469.7 IPS |
|
|
Image Classification (Q)
|
96% |
1756
328.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2449
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2824
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6888
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14816
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12633
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2887
229.8 IPS |
|
|
Object Detection (Q)
|
94% |
2077
165.6 IPS |
|
|
Face Detection (SP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6176
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3534
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5669
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11584
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7984
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18809
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28518
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23717
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4056
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4821
178.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3592
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3650
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3662
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5761
99.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5728
99.0 IPS |
