iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3226
Single Precision Score
5299
Half Precision Score
4375
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 13 2024 06:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
2180
405.5 IPS |
|
|
Image Classification (Q)
|
96% |
1557
290.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2195
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2594
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6543
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13931
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12039
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
97% |
2436
193.9 IPS |
|
|
Object Detection (Q)
|
94% |
1794
143.0 IPS |
|
|
Face Detection (SP)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5609
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3204
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5780
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11011
85.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7647
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17130
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26197
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21984
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3750
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4426
163.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3371
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3875
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2464
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3863
66.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4189
72.4 IPS |
