iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3237
Single Precision Score
5344
Half Precision Score
4389
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 10:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
2193
407.8 IPS |
|
|
Image Classification (Q)
|
96% |
1560
291.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2240
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2597
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6537
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13869
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11994
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
97% |
2444
194.5 IPS |
|
|
Object Detection (Q)
|
94% |
1802
143.6 IPS |
|
|
Face Detection (SP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5639
67.0 IPS |
|
|
Face Detection (Q)
|
100% |
3234
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5822
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11041
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7666
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17103
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26372
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22055
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3763
139.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4383
161.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3350
123.7 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3938
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3944
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4032
69.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4202
72.6 IPS |
