iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3215
Single Precision Score
15718
Half Precision Score
15377
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 07:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1419
263.8 IPS |
|
|
Image Classification (HP)
|
100% |
6160
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5833
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9682
156.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10003
162.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6491
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
68728
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66967
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.1 IPS |
|
|
Object Detection (HP)
|
99% |
7229
575.0 IPS |
|
|
Object Detection (Q)
|
91% |
6696
535.1 IPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16646
197.8 IPS |
|
|
Face Detection (Q)
|
100% |
15189
180.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5681
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47249
364.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
47722
372.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16994
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
119932
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
114902
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3687
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23018
849.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23683
874.5 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4028
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3933
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2528
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3643
63.0 IPS |
