iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
2258
Single Precision Score
3754
Half Precision Score
2995
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 07:09 PM |
| Views | 2 |
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% |
882
164.0 IPS |
|
|
Image Classification (HP)
|
100% |
1526
283.8 IPS |
|
|
Image Classification (Q)
|
96% |
1044
195.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
996
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1572
25.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1730
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4114
4.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
9217
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
8004
9.38 IPS |
|
|
Object Detection (SP)
|
100% |
1024
81.2 IPS |
|
|
Object Detection (HP)
|
97% |
1808
144.0 IPS |
|
|
Object Detection (Q)
|
94% |
1267
101.0 IPS |
|
|
Face Detection (SP)
|
100% |
2188
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
3933
46.7 IPS |
|
|
Face Detection (Q)
|
100% |
2153
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3598
27.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
7275
56.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
4934
38.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11713
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17566
22.6 IPS |
|
|
Style Transfer (Q)
|
96% |
14501
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2629
97.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3009
111.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2232
82.4 IPS |
|
|
Text Classification (SP)
|
100% |
1540
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2365
3.16 KIPS |
|
|
Text Classification (Q)
|
93% |
2367
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2504
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3892
67.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3901
67.4 IPS |
