iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3440
Single Precision Score
26179
Half Precision Score
28946
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | September 08 2025 08:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
14216
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
14760
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1484
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19555
317.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24075
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6839
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
105143
122.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106385
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1529
121.2 IPS |
|
|
Object Detection (HP)
|
99% |
15021
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16705
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
32420
385.2 IPS |
|
|
Face Detection (Q)
|
100% |
41066
487.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5645
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
84272
649.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
106384
831.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18644
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
200292
257.5 IPS |
|
|
Style Transfer (Q)
|
96% |
194341
250.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3959
146.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38861
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45748
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
2228
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3795
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3763
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3718
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4268
73.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4475
77.3 IPS |
