iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3991
Single Precision Score
4235
Half Precision Score
3608
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | vacantsouls |
| Upload Date | August 17 2024 02:30 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1766
328.4 IPS |
|
|
Image Classification (HP)
|
100% |
1751
325.7 IPS |
|
|
Image Classification (Q)
|
99% |
1740
324.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2647
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3491
56.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3444
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16607
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17941
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16444
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2556
202.8 IPS |
|
|
Object Detection (HP)
|
100% |
2599
206.2 IPS |
|
|
Object Detection (Q)
|
92% |
2083
166.3 IPS |
|
|
Face Detection (SP)
|
100% |
6223
73.9 IPS |
|
|
Face Detection (HP)
|
100% |
7800
92.7 IPS |
|
|
Face Detection (Q)
|
100% |
4568
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10330
79.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8689
66.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
7985
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17247
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19841
25.5 IPS |
|
|
Style Transfer (Q)
|
100% |
20264
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4227
156.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5839
215.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3546
131.4 IPS |
|
|
Text Classification (SP)
|
100% |
1221
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (Q)
|
93% |
808
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
860
14.9 IPS |
