iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3477
Single Precision Score
25661
Half Precision Score
28458
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 29 2024 05:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1384
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
14150
2.63 KIPS |
|
|
Image Classification (Q)
|
96% |
14622
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18879
306.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23745
384.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6885
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
103792
121.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105103
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
99% |
15008
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17272
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3177
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
32130
381.8 IPS |
|
|
Face Detection (Q)
|
100% |
41289
490.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5691
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
84982
654.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
103794
811.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18936
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
200830
258.2 IPS |
|
|
Style Transfer (Q)
|
96% |
189764
244.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4144
153.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37360
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45596
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3646
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3633
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3522
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3984
68.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4104
70.9 IPS |
