iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
4895
Single Precision Score
5701
Half Precision Score
5003
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | January 01 2025 12:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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% |
2090
388.6 IPS |
|
|
Image Classification (HP)
|
100% |
2096
389.7 IPS |
|
|
Image Classification (Q)
|
97% |
1868
348.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2722
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3625
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3659
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16938
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18241
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16824
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2723
216.0 IPS |
|
|
Object Detection (HP)
|
100% |
2751
218.2 IPS |
|
|
Object Detection (Q)
|
91% |
2144
171.3 IPS |
|
|
Face Detection (SP)
|
100% |
6776
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
8415
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
5865
69.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12249
94.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13706
105.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10763
84.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29127
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34232
44.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31972
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6402
236.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7203
266.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5486
202.6 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3917
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
920
15.9 IPS |
