iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3232
Single Precision Score
5325
Half Precision Score
4390
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 12:58 PM |
| Views | 1 |
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 | iPad13,8 |
| 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% |
1403
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.4 IPS |
|
|
Image Classification (Q)
|
96% |
1559
291.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2593
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6543
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13855
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11986
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
97% |
2442
194.4 IPS |
|
|
Object Detection (Q)
|
94% |
1798
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
3044
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5588
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3224
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5822
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11017
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7645
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17053
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26302
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21975
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3772
139.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4413
162.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3370
124.4 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3960
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3959
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3966
68.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4227
73.0 IPS |
