iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3093
Single Precision Score
5412
Half Precision Score
4447
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 07:13 PM |
| Views | 3 |
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 | iPad13,10 |
| Motherboard | J523AP |
| 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% |
2195
408.2 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2525
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6027
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14079
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12101
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1385
109.9 IPS |
|
|
Object Detection (HP)
|
97% |
2416
192.3 IPS |
|
|
Object Detection (Q)
|
94% |
1788
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
2991
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5443
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3165
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5449
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10405
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7375
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16526
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26185
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21824
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3464
127.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4609
170.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3503
129.4 IPS |
|
|
Text Classification (SP)
|
100% |
2401
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4209
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4226
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4696
81.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4679
80.9 IPS |
