iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3195
Single Precision Score
5236
Half Precision Score
4319
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 04 2024 04:43 PM |
| 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% |
1370
254.7 IPS |
|
|
Image Classification (HP)
|
100% |
2155
400.7 IPS |
|
|
Image Classification (Q)
|
96% |
1543
288.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2195
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2545
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6501
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13760
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11891
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.2 IPS |
|
|
Object Detection (HP)
|
97% |
2419
192.6 IPS |
|
|
Object Detection (Q)
|
94% |
1777
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5523
65.6 IPS |
|
|
Face Detection (Q)
|
100% |
3174
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5765
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10914
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7577
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17248
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26072
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21900
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3704
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4334
160.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3338
123.3 IPS |
|
|
Text Classification (SP)
|
100% |
2202
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3730
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3696
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3874
66.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4193
72.5 IPS |
