iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3085
Single Precision Score
5413
Half Precision Score
4440
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 01:05 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,9 |
| Motherboard | J522xAP |
| 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 | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
2202
409.6 IPS |
|
|
Image Classification (Q)
|
96% |
1573
293.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2523
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6020
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14107
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12121
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.4 IPS |
|
|
Object Detection (HP)
|
97% |
2405
191.4 IPS |
|
|
Object Detection (Q)
|
94% |
1786
142.4 IPS |
|
|
Face Detection (SP)
|
100% |
2966
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5435
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3166
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5449
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10422
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7363
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16472
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26223
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21856
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3454
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4609
170.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3518
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4197
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4143
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2462
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4675
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4670
80.7 IPS |
