iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3223
Single Precision Score
14370
Half Precision Score
14001
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
6217
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5875
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6643
107.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6764
109.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6464
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
67055
78.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
65666
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
99% |
7257
577.3 IPS |
|
|
Object Detection (Q)
|
91% |
6696
535.1 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16113
191.5 IPS |
|
|
Face Detection (Q)
|
100% |
14861
176.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5796
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47274
364.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
47854
374.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17008
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120014
154.3 IPS |
|
|
Style Transfer (Q)
|
96% |
111956
144.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23005
849.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23869
881.4 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3860
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3824
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2485
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2302
39.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2280
39.4 IPS |
