iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4384
Single Precision Score
4681
Half Precision Score
1625
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Netsat |
| Upload Date | September 06 2024 07:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1702
316.6 IPS |
|
|
Image Classification (HP)
|
100% |
1792
333.3 IPS |
|
|
Image Classification (Q)
|
97% |
1711
319.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2647
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3512
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3483
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16379
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17856
20.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
16057
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2538
201.3 IPS |
|
|
Object Detection (HP)
|
100% |
2581
204.8 IPS |
|
|
Object Detection (Q)
|
92% |
2112
168.6 IPS |
|
|
Face Detection (SP)
|
100% |
6198
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
7741
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
5396
64.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11871
91.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13442
103.6 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27784
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33675
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31099
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6190
228.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6942
256.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5381
198.7 IPS |
|
|
Text Classification (SP)
|
100% |
1272
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
825
1.10 KIPS |
|
|
Text Classification (Q)
|
93% |
821
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
859
14.8 IPS |
