iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3460
Single Precision Score
5938
Half Precision Score
4804
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Jack4Maps |
| Upload Date | December 30 2024 08:38 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1381
256.9 IPS |
|
|
Image Classification (HP)
|
100% |
2497
464.3 IPS |
|
|
Image Classification (Q)
|
96% |
1727
322.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2816
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6888
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14718
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12642
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
2876
229.0 IPS |
|
|
Object Detection (Q)
|
94% |
2071
165.1 IPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6180
73.4 IPS |
|
|
Face Detection (Q)
|
100% |
3547
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5659
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11519
89.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7987
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18881
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28469
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23703
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4047
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4787
176.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3552
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
2228
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3777
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3771
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5763
99.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5722
98.9 IPS |
