iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
6248
Single Precision Score
6425
Half Precision Score
5829
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | August 16 2024 08:56 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3436
639.1 IPS |
|
|
Image Classification (HP)
|
100% |
3414
634.9 IPS |
|
|
Image Classification (Q)
|
99% |
3081
574.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3986
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4895
79.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
4796
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24552
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26136
30.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23415
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
3548
281.5 IPS |
|
|
Object Detection (HP)
|
100% |
3575
283.6 IPS |
|
|
Object Detection (Q)
|
92% |
2748
219.4 IPS |
|
|
Face Detection (SP)
|
100% |
9786
116.3 IPS |
|
|
Face Detection (HP)
|
100% |
11253
133.7 IPS |
|
|
Face Detection (Q)
|
100% |
7707
91.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16583
127.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17719
136.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
17464
135.0 IPS |
|
|
Style Transfer (SP)
|
100% |
42178
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48307
62.1 IPS |
|
|
Style Transfer (Q)
|
100% |
48021
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9464
349.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10143
374.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7653
283.5 IPS |
|
|
Text Classification (SP)
|
100% |
1199
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (Q)
|
93% |
785
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
996
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1228
21.2 IPS |
