iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
4869
Single Precision Score
5676
Half Precision Score
5048
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 08:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1973
366.9 IPS |
|
|
Image Classification (HP)
|
100% |
2038
379.1 IPS |
|
|
Image Classification (Q)
|
97% |
1913
357.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2701
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3628
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3731
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16699
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18448
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16964
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2757
218.7 IPS |
|
|
Object Detection (HP)
|
100% |
2738
217.2 IPS |
|
|
Object Detection (Q)
|
91% |
2225
177.8 IPS |
|
|
Face Detection (SP)
|
100% |
6849
81.4 IPS |
|
|
Face Detection (HP)
|
100% |
8407
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
5942
70.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12202
94.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13756
106.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11509
90.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29142
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33733
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32323
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6407
236.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7147
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5396
199.2 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3980
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3945
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
849
14.7 IPS |
