iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3224
Single Precision Score
5325
Half Precision Score
4385
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 22 2024 02:17 AM |
| Views | 2 |
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% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
2202
409.5 IPS |
|
|
Image Classification (Q)
|
96% |
1552
289.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2196
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2574
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6519
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13856
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11977
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
97% |
2433
193.7 IPS |
|
|
Object Detection (Q)
|
94% |
1790
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5597
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3199
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5821
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11065
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7655
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17188
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26253
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22039
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3755
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4371
161.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3377
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3998
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3976
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2482
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3960
68.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4237
73.2 IPS |
