iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4368
Single Precision Score
4653
Half Precision Score
4221
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | saiht |
| Upload Date | August 15 2024 08:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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% |
1674
311.3 IPS |
|
|
Image Classification (HP)
|
100% |
1689
314.1 IPS |
|
|
Image Classification (Q)
|
99% |
1791
334.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2625
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3480
56.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
3435
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16533
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17920
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
15987
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2540
201.5 IPS |
|
|
Object Detection (HP)
|
100% |
2549
202.2 IPS |
|
|
Object Detection (Q)
|
92% |
2060
164.4 IPS |
|
|
Face Detection (SP)
|
100% |
6210
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
7628
90.6 IPS |
|
|
Face Detection (Q)
|
100% |
5318
63.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11777
90.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13473
103.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
13132
101.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27985
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34230
44.0 IPS |
|
|
Style Transfer (Q)
|
100% |
32969
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6128
226.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6963
257.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5325
197.3 IPS |
|
|
Text Classification (SP)
|
100% |
1254
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
823
1.10 KIPS |
|
|
Text Classification (Q)
|
93% |
821
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
881
15.2 IPS |
