iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3024
Single Precision Score
5377
Half Precision Score
4399
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 05 2026 06:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1274
236.9 IPS |
|
|
Image Classification (HP)
|
100% |
2176
404.6 IPS |
|
|
Image Classification (Q)
|
96% |
1547
288.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1281
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2497
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5949
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
13913
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11972
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1363
108.1 IPS |
|
|
Object Detection (HP)
|
97% |
2358
187.7 IPS |
|
|
Object Detection (Q)
|
94% |
1757
140.1 IPS |
|
|
Face Detection (SP)
|
100% |
2822
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
5268
62.6 IPS |
|
|
Face Detection (Q)
|
100% |
3079
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5331
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10252
79.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7270
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15946
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25976
33.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21644
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3424
126.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4735
174.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3487
128.8 IPS |
|
|
Text Classification (SP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4308
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4299
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2419
41.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4627
79.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4605
79.6 IPS |
