iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3222
Single Precision Score
16062
Half Precision Score
15649
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 01:05 PM |
| Views | 1 |
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% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
6452
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6112
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9833
159.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10220
165.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6494
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
69524
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
67620
79.3 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.9 IPS |
|
|
Object Detection (HP)
|
99% |
7637
607.5 IPS |
|
|
Object Detection (Q)
|
91% |
7179
573.6 IPS |
|
|
Face Detection (SP)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
16834
200.0 IPS |
|
|
Face Detection (Q)
|
100% |
15515
184.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5673
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48499
373.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
46945
366.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16980
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121197
155.8 IPS |
|
|
Style Transfer (Q)
|
96% |
114828
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3756
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23541
869.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23321
861.1 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4071
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3984
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2550
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3580
61.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3738
64.6 IPS |
