iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3197
Single Precision Score
5210
Half Precision Score
4336
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | K4ZT13L |
| Upload Date | November 02 2024 02:57 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.4 IPS |
|
|
Image Classification (HP)
|
100% |
2113
392.9 IPS |
|
|
Image Classification (Q)
|
96% |
1516
283.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2074
33.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2585
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6522
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13937
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12046
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
97% |
2391
190.4 IPS |
|
|
Object Detection (Q)
|
94% |
1766
140.8 IPS |
|
|
Face Detection (SP)
|
100% |
3015
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5513
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3193
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5753
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10912
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7600
59.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17208
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26225
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21948
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3751
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% |
2235
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3753
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3737
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3852
66.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4202
72.6 IPS |
