iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
6967
Single Precision Score
7825
Half Precision Score
6846
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 12:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3637
676.3 IPS |
|
|
Image Classification (HP)
|
100% |
3612
671.8 IPS |
|
|
Image Classification (Q)
|
97% |
2954
551.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4049
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5025
81.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5088
82.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24688
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26287
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24503
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3689
292.6 IPS |
|
|
Object Detection (HP)
|
100% |
3684
292.2 IPS |
|
|
Object Detection (Q)
|
91% |
3039
242.8 IPS |
|
|
Face Detection (SP)
|
100% |
10372
123.2 IPS |
|
|
Face Detection (HP)
|
100% |
11894
141.3 IPS |
|
|
Face Detection (Q)
|
100% |
8289
98.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16749
129.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17838
137.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
14911
116.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42608
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48549
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
45431
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9738
359.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10040
370.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7939
293.1 IPS |
|
|
Text Classification (SP)
|
100% |
2216
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3638
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3635
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1259
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1302
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1248
21.6 IPS |
