iPad Pro (12.9-inch, 6th generation)
Geekbench AI Score
7126
Single Precision Score
7806
Half Precision Score
6878
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 06:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3656
679.8 IPS |
|
|
Image Classification (HP)
|
100% |
3641
677.2 IPS |
|
|
Image Classification (Q)
|
97% |
3003
560.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4046
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5009
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5089
82.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24662
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26295
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24511
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3677
291.6 IPS |
|
|
Object Detection (HP)
|
100% |
3687
292.4 IPS |
|
|
Object Detection (Q)
|
91% |
3050
243.7 IPS |
|
|
Face Detection (SP)
|
100% |
10389
123.4 IPS |
|
|
Face Detection (HP)
|
100% |
11926
141.7 IPS |
|
|
Face Detection (Q)
|
100% |
8364
99.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16704
128.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17829
137.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
14648
114.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42868
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48507
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
45413
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9778
361.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10194
376.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7955
293.7 IPS |
|
|
Text Classification (SP)
|
100% |
2235
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3703
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1549
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1266
21.9 IPS |
