iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3232
Single Precision Score
5296
Half Precision Score
4375
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 09:45 PM |
| Views | 1 |
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 | iPad13,8 |
| Motherboard | J522AP |
| 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% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
2174
404.2 IPS |
|
|
Image Classification (Q)
|
96% |
1550
289.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2196
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2561
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6533
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13934
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12075
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
97% |
2432
193.6 IPS |
|
|
Object Detection (Q)
|
94% |
1779
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5532
65.7 IPS |
|
|
Face Detection (Q)
|
100% |
3184
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5822
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10951
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7645
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17191
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26389
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22001
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3735
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4473
165.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3424
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3925
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3919
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3829
66.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4199
72.6 IPS |
