iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3451
Single Precision Score
26074
Half Precision Score
28961
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | bluetech |
| Upload Date | August 27 2025 03:16 PM |
| Views | 10 |
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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
13713
2.55 KIPS |
|
|
Image Classification (Q)
|
96% |
14938
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19515
316.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23901
387.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6816
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
100846
117.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104183
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
99% |
15160
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17079
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3122
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
33226
394.8 IPS |
|
|
Face Detection (Q)
|
100% |
41958
498.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5641
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
83676
644.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
103150
806.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18637
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201772
259.4 IPS |
|
|
Style Transfer (Q)
|
96% |
194028
250.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3974
146.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38258
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46009
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3868
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3843
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3736
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4277
73.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4402
76.1 IPS |
