iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3449
Single Precision Score
5916
Half Precision Score
4783
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 12 2025 04:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1364
253.7 IPS |
|
|
Image Classification (HP)
|
100% |
2514
467.6 IPS |
|
|
Image Classification (Q)
|
96% |
1748
326.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2447
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2817
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6884
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14845
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12609
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2893
230.3 IPS |
|
|
Object Detection (Q)
|
94% |
2073
165.2 IPS |
|
|
Face Detection (SP)
|
100% |
3153
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6177
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3536
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5720
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11539
89.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7977
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18823
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28490
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23654
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4031
148.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4737
174.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3558
131.4 IPS |
|
|
Text Classification (SP)
|
100% |
2209
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3634
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3620
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5692
98.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5674
98.1 IPS |
