iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3231
Single Precision Score
5351
Half Precision Score
4365
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dieterthomas |
| Upload Date | January 13 2025 03:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
2194
408.0 IPS |
|
|
Image Classification (Q)
|
96% |
1565
292.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2591
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6510
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
13867
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11990
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
97% |
2431
193.5 IPS |
|
|
Object Detection (Q)
|
94% |
1796
143.1 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5594
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3035
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5461
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11049
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7641
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17185
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26263
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21976
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3817
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4383
161.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3368
124.4 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3963
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3984
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2548
43.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4025
69.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4213
72.8 IPS |
