iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3085
Single Precision Score
14409
Half Precision Score
14112
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 04:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1308
243.3 IPS |
|
|
Image Classification (HP)
|
100% |
5760
1.07 KIPS |
|
|
Image Classification (Q)
|
96% |
5994
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8897
144.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9155
148.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6012
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
68076
79.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
64370
75.4 IPS |
|
|
Object Detection (SP)
|
100% |
1384
109.8 IPS |
|
|
Object Detection (HP)
|
99% |
6716
534.2 IPS |
|
|
Object Detection (Q)
|
91% |
6080
485.9 IPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
12734
151.3 IPS |
|
|
Face Detection (Q)
|
100% |
12457
148.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5476
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
46062
354.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
42949
335.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16477
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119201
153.2 IPS |
|
|
Style Transfer (Q)
|
96% |
112336
145.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3456
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22639
836.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22457
829.2 IPS |
|
|
Text Classification (SP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4257
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4239
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2463
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2445
42.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2551
44.1 IPS |
