iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3453
Single Precision Score
25578
Half Precision Score
28452
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 12:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1377
256.2 IPS |
|
|
Image Classification (HP)
|
100% |
13723
2.55 KIPS |
|
|
Image Classification (Q)
|
96% |
14662
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18946
307.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23575
382.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6868
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
101253
118.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104807
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
99% |
15498
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
16644
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3143
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
32014
380.4 IPS |
|
|
Face Detection (Q)
|
100% |
41315
490.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5654
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
83481
643.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
105312
823.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18868
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
199732
256.8 IPS |
|
|
Style Transfer (Q)
|
96% |
188242
242.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4048
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37202
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45846
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3596
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3584
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3555
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4114
70.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4285
74.1 IPS |
