iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3231
Single Precision Score
5298
Half Precision Score
4389
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 10:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
2182
405.7 IPS |
|
|
Image Classification (Q)
|
96% |
1562
291.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2209
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2598
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6540
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13857
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12002
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1520
120.5 IPS |
|
|
Object Detection (HP)
|
97% |
2447
194.8 IPS |
|
|
Object Detection (Q)
|
94% |
1802
143.7 IPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5595
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3237
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5785
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11046
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7682
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17160
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26307
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22058
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3760
138.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4351
160.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3352
123.8 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3939
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3920
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3830
66.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4202
72.6 IPS |
