iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3229
Single Precision Score
5344
Half Precision Score
4662
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | August 19 2024 05:04 PM |
| Views | 11 |
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% |
1382
257.0 IPS |
|
|
Image Classification (HP)
|
100% |
2180
405.5 IPS |
|
|
Image Classification (Q)
|
99% |
2164
403.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1392
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2236
36.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2211
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6540
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13932
16.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
11882
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
97% |
2430
193.5 IPS |
|
|
Object Detection (Q)
|
94% |
1787
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
3025
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5547
65.9 IPS |
|
|
Face Detection (Q)
|
100% |
3186
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5801
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11036
85.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
11033
85.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17188
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26512
34.1 IPS |
|
|
Style Transfer (Q)
|
100% |
26467
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3771
139.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4602
169.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3370
124.8 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3813
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3773
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2523
43.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4044
69.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4042
69.8 IPS |
