iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3061
Single Precision Score
14738
Half Precision Score
14501
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 06 2026 06:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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 | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1292
240.2 IPS |
|
|
Image Classification (HP)
|
100% |
6279
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5865
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8845
143.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9187
148.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5999
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
68159
79.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
64621
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1375
109.1 IPS |
|
|
Object Detection (HP)
|
99% |
7086
563.7 IPS |
|
|
Object Detection (Q)
|
91% |
6309
504.1 IPS |
|
|
Face Detection (SP)
|
100% |
2923
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
13425
159.5 IPS |
|
|
Face Detection (Q)
|
100% |
13136
156.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5394
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
43060
331.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
46115
360.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16368
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120898
155.4 IPS |
|
|
Style Transfer (Q)
|
96% |
113421
146.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3445
127.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23979
885.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24051
888.1 IPS |
|
|
Text Classification (SP)
|
100% |
2401
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4244
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4186
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2451
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2536
43.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2707
46.8 IPS |
