iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3439
Single Precision Score
5905
Half Precision Score
4782
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | aayush08 |
| Upload Date | October 16 2024 11:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
2459
457.2 IPS |
|
|
Image Classification (Q)
|
96% |
1725
322.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2427
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2814
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6862
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14820
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12749
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
97% |
2878
229.2 IPS |
|
|
Object Detection (Q)
|
94% |
2075
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
3148
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6230
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
3544
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5715
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11547
89.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7984
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18850
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28543
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23761
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4045
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3601
133.0 IPS |
|
|
Text Classification (SP)
|
100% |
2145
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3591
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3560
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3550
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5671
98.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5650
97.6 IPS |
