iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3236
Single Precision Score
15739
Half Precision Score
15419
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | RAMFlux |
| Upload Date | March 18 2025 01:30 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
6146
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5818
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9776
158.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10037
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6541
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
68755
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66156
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1517
120.3 IPS |
|
|
Object Detection (HP)
|
99% |
7285
579.5 IPS |
|
|
Object Detection (Q)
|
91% |
6700
535.3 IPS |
|
|
Face Detection (SP)
|
100% |
3070
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
16555
196.7 IPS |
|
|
Face Detection (Q)
|
100% |
15134
179.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5775
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47217
363.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
47932
374.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17183
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120636
155.1 IPS |
|
|
Style Transfer (Q)
|
96% |
114895
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3769
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23266
859.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23739
876.6 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3924
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3934
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2493
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3601
62.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3771
65.2 IPS |
