iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3439
Single Precision Score
26336
Half Precision Score
29205
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 17 2025 09:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1366
254.0 IPS |
|
|
Image Classification (HP)
|
100% |
14336
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
14886
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19372
314.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23953
388.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6823
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
105077
122.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104907
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1532
121.5 IPS |
|
|
Object Detection (HP)
|
99% |
15021
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17642
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3075
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
32950
391.5 IPS |
|
|
Face Detection (Q)
|
100% |
41594
494.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5568
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
85218
656.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
108464
847.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18632
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
200608
257.9 IPS |
|
|
Style Transfer (Q)
|
96% |
193788
250.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3962
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38371
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46411
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3982
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3854
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3694
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4255
73.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4375
75.6 IPS |
