iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3065
Single Precision Score
5375
Half Precision Score
4419
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tokris |
| Upload Date | January 13 2026 01:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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% |
1309
243.4 IPS |
|
|
Image Classification (HP)
|
100% |
2192
407.6 IPS |
|
|
Image Classification (Q)
|
96% |
1574
294.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2539
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5811
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
14111
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12135
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.6 IPS |
|
|
Object Detection (HP)
|
97% |
2412
192.0 IPS |
|
|
Object Detection (Q)
|
94% |
1788
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
2946
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
5423
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3164
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5464
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10431
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7361
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16451
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26191
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21790
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3485
128.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4629
170.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3496
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
4014
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3984
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2449
42.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4631
80.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4639
80.2 IPS |
