iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
7061
Single Precision Score
7823
Half Precision Score
6654
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | achakbrooks |
| Upload Date | October 23 2024 11:52 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3686
685.4 IPS |
|
|
Image Classification (HP)
|
100% |
3598
669.2 IPS |
|
|
Image Classification (Q)
|
97% |
2667
497.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4059
65.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5017
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5001
81.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24778
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26388
30.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24039
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
3678
291.7 IPS |
|
|
Object Detection (HP)
|
100% |
3766
298.8 IPS |
|
|
Object Detection (Q)
|
91% |
2828
226.0 IPS |
|
|
Face Detection (SP)
|
100% |
10350
123.0 IPS |
|
|
Face Detection (HP)
|
100% |
11897
141.4 IPS |
|
|
Face Detection (Q)
|
100% |
8217
97.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16702
128.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17853
137.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
13887
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42395
54.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48480
62.3 IPS |
|
|
Style Transfer (Q)
|
96% |
45257
58.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9810
362.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10141
374.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7740
285.8 IPS |
|
|
Text Classification (SP)
|
100% |
2235
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3672
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3595
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1407
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1306
22.6 IPS |
