iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3453
Single Precision Score
5921
Half Precision Score
4809
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | achakbrooks |
| Upload Date | October 23 2024 11:54 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1377
256.1 IPS |
|
|
Image Classification (HP)
|
100% |
2485
462.2 IPS |
|
|
Image Classification (Q)
|
96% |
1736
324.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2437
39.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2818
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6878
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14776
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12688
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
2867
228.2 IPS |
|
|
Object Detection (Q)
|
94% |
2065
164.6 IPS |
|
|
Face Detection (SP)
|
100% |
3144
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6212
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
3539
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5698
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11569
89.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8012
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18880
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28610
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24096
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4123
152.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4851
179.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3591
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3635
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3711
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3582
61.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5700
98.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5676
98.1 IPS |
