iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3491
Single Precision Score
5992
Half Precision Score
4836
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | gbjdsv |
| Upload Date | November 15 2024 10:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
2542
472.7 IPS |
|
|
Image Classification (Q)
|
96% |
1766
329.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2551
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2841
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6870
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14824
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12815
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2866
228.1 IPS |
|
|
Object Detection (Q)
|
94% |
2070
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6235
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
3571
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5661
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11526
89.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7970
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18772
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28554
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
24076
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4153
153.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4829
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3582
132.3 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3799
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3725
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5755
99.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5754
99.4 IPS |
