iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
3458
Single Precision Score
5933
Half Precision Score
4803
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dipak |
| Upload Date | December 04 2024 12:59 AM |
| Views | 7 |
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% |
1371
255.0 IPS |
|
|
Image Classification (HP)
|
100% |
2499
464.6 IPS |
|
|
Image Classification (Q)
|
96% |
1737
324.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1515
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2441
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2825
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6898
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14779
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12748
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2880
229.3 IPS |
|
|
Object Detection (Q)
|
94% |
2076
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
3160
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6232
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
3553
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5680
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11594
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7998
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18917
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28613
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23781
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4059
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4845
178.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3590
132.6 IPS |
|
|
Text Classification (SP)
|
100% |
2235
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3630
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3612
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5728
99.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5750
99.4 IPS |
