iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3089
Single Precision Score
5404
Half Precision Score
4456
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 10:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1310
243.6 IPS |
|
|
Image Classification (HP)
|
100% |
2207
410.5 IPS |
|
|
Image Classification (Q)
|
96% |
1579
294.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1320
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2534
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6014
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14111
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12117
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1386
109.9 IPS |
|
|
Object Detection (HP)
|
97% |
2415
192.3 IPS |
|
|
Object Detection (Q)
|
94% |
1791
142.8 IPS |
|
|
Face Detection (SP)
|
100% |
2979
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5454
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3177
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5469
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10366
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7380
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16503
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26249
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21873
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3462
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4584
169.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3494
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
2391
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4162
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4264
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2469
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4678
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4659
80.5 IPS |
