iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3461
Single Precision Score
5952
Half Precision Score
4821
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 13 2024 05:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1377
256.0 IPS |
|
|
Image Classification (HP)
|
100% |
2522
469.0 IPS |
|
|
Image Classification (Q)
|
96% |
1773
331.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2833
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6896
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14846
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12749
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2885
229.7 IPS |
|
|
Object Detection (Q)
|
94% |
2080
165.8 IPS |
|
|
Face Detection (SP)
|
100% |
3197
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6187
73.5 IPS |
|
|
Face Detection (Q)
|
100% |
3554
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5680
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11699
90.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7989
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18879
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28486
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23714
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4067
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4837
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3593
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
2212
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3692
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3678
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3524
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5677
98.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5728
99.0 IPS |
