iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
4856
Single Precision Score
5662
Half Precision Score
5053
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RAMFlux |
| Upload Date | March 18 2025 01:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1943
361.4 IPS |
|
|
Image Classification (HP)
|
100% |
2054
381.9 IPS |
|
|
Image Classification (Q)
|
97% |
2060
384.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2741
44.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3642
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3674
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16974
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18436
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16907
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2727
216.3 IPS |
|
|
Object Detection (HP)
|
100% |
2731
216.6 IPS |
|
|
Object Detection (Q)
|
91% |
2215
177.0 IPS |
|
|
Face Detection (SP)
|
100% |
6866
81.6 IPS |
|
|
Face Detection (HP)
|
100% |
8369
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
5860
69.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12278
94.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13678
105.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
11448
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28394
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34090
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32327
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6407
236.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7082
261.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5384
198.8 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3926
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3912
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
839
14.5 IPS |
