iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3206
Single Precision Score
15729
Half Precision Score
15355
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 07:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1408
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
6240
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5843
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9660
156.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9973
161.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6496
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
68729
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66868
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
1491
118.3 IPS |
|
|
Object Detection (HP)
|
99% |
7196
572.4 IPS |
|
|
Object Detection (Q)
|
91% |
6688
534.4 IPS |
|
|
Face Detection (SP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
16339
194.1 IPS |
|
|
Face Detection (Q)
|
100% |
15006
178.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5678
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47227
363.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
47307
369.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16978
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120176
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
114906
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3681
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23578
870.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23695
875.0 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3941
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3908
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2534
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3609
62.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3703
64.0 IPS |
