iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3330
Single Precision Score
26300
Half Precision Score
29069
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 02:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro (12.9-inch, 6th generation) |
| Model ID | iPad14,5 |
| Motherboard | J620AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1311
243.9 IPS |
|
|
Image Classification (HP)
|
100% |
15009
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
15522
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19531
316.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23991
388.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6312
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
101649
118.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105248
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
1416
112.3 IPS |
|
|
Object Detection (HP)
|
99% |
15248
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
16409
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
3094
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
33747
401.0 IPS |
|
|
Face Detection (Q)
|
100% |
42939
510.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5448
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
83312
641.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
103723
810.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18101
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202159
259.9 IPS |
|
|
Style Transfer (Q)
|
96% |
193797
250.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3710
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36362
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44584
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
2394
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
3995
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3978
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3632
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4221
72.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4377
75.6 IPS |
