iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3468
Single Precision Score
22975
Half Precision Score
25091
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | achakbrooks |
| Upload Date | October 23 2024 11:48 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1384
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
14101
2.62 KIPS |
|
|
Image Classification (Q)
|
96% |
15412
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9987
161.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11000
178.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6889
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
102280
119.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104857
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
99% |
15138
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16980
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
32756
389.2 IPS |
|
|
Face Detection (Q)
|
100% |
41694
495.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5675
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
84588
651.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
104236
814.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18841
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
200095
257.2 IPS |
|
|
Style Transfer (Q)
|
96% |
187651
242.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4047
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38826
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46657
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2201
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3636
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2373
40.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2369
40.9 IPS |
