iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
2209
Single Precision Score
3525
Half Precision Score
2849
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 11:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
932
173.3 IPS |
|
|
Image Classification (HP)
|
100% |
1399
260.1 IPS |
|
|
Image Classification (Q)
|
96% |
980
183.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1490
24.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1655
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4296
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
9040
10.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
7742
9.07 IPS |
|
|
Object Detection (SP)
|
100% |
1005
79.8 IPS |
|
|
Object Detection (HP)
|
97% |
1597
127.1 IPS |
|
|
Object Detection (Q)
|
94% |
1146
91.4 IPS |
|
|
Face Detection (SP)
|
100% |
2203
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
3758
44.7 IPS |
|
|
Face Detection (Q)
|
100% |
2091
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3746
28.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7038
54.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
4817
37.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11432
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17214
22.1 IPS |
|
|
Style Transfer (Q)
|
96% |
14241
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2529
93.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2846
105.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2156
79.6 IPS |
|
|
Text Classification (SP)
|
100% |
1547
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2609
3.48 KIPS |
|
|
Text Classification (Q)
|
93% |
2592
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1887
32.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2913
50.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3062
52.9 IPS |
