iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3267
Single Precision Score
5383
Half Precision Score
4393
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | December 05 2024 10:30 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.7 IPS |
|
|
Image Classification (Q)
|
96% |
1564
292.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1446
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2284
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2576
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6549
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
13888
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12021
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
97% |
2437
194.0 IPS |
|
|
Object Detection (Q)
|
94% |
1790
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5585
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3212
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5814
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11033
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7643
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17288
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26651
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22074
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3806
140.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4630
171.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3392
125.3 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4009
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3983
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2564
44.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3948
68.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4225
73.0 IPS |
