iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3211
Single Precision Score
15732
Half Precision Score
15399
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 06:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1416
263.3 IPS |
|
|
Image Classification (HP)
|
100% |
6268
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5839
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9675
156.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10069
163.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6471
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
68661
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66887
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
99% |
7283
579.3 IPS |
|
|
Object Detection (Q)
|
91% |
6694
534.9 IPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16532
196.4 IPS |
|
|
Face Detection (Q)
|
100% |
15176
180.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5665
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47336
364.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
47619
372.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16969
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120154
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
114908
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3689
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23095
852.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23611
871.8 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4010
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3976
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2531
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3518
60.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3654
63.1 IPS |
