iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4392
Single Precision Score
4671
Half Precision Score
4232
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | yusryprince |
| Upload Date | August 16 2024 11:44 AM |
| Views | 7 |
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 | iPad13,6 |
| 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% |
1635
304.1 IPS |
|
|
Image Classification (HP)
|
100% |
1780
331.1 IPS |
|
|
Image Classification (Q)
|
99% |
1821
339.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2639
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3520
57.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
3481
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16583
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17847
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
15952
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2571
203.9 IPS |
|
|
Object Detection (HP)
|
100% |
2594
205.7 IPS |
|
|
Object Detection (Q)
|
92% |
2108
168.3 IPS |
|
|
Face Detection (SP)
|
100% |
6401
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
7645
90.8 IPS |
|
|
Face Detection (Q)
|
100% |
5366
63.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11931
91.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13449
103.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
13341
103.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27933
35.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33445
43.0 IPS |
|
|
Style Transfer (Q)
|
100% |
32999
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6141
226.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6976
257.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5305
196.5 IPS |
|
|
Text Classification (SP)
|
100% |
1277
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
823
1.10 KIPS |
|
|
Text Classification (Q)
|
93% |
819
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
843
14.6 IPS |
