iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3227
Single Precision Score
5308
Half Precision Score
4384
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | LeeCD |
| Upload Date | October 02 2024 08:44 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,7 |
| Motherboard | J518xAP |
| 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 | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
2197
408.6 IPS |
|
|
Image Classification (Q)
|
96% |
1565
292.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2579
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6526
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13939
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12047
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.8 IPS |
|
|
Object Detection (HP)
|
97% |
2438
194.1 IPS |
|
|
Object Detection (Q)
|
94% |
1788
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5539
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
3189
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5773
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11068
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7653
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17192
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26344
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22023
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3746
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4507
166.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3417
126.2 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3821
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3869
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3895
67.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4248
73.4 IPS |
