iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
2839
Single Precision Score
4947
Half Precision Score
3899
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 08 2025 03:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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 | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1400
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
1691
314.5 IPS |
|
|
Image Classification (Q)
|
96% |
1299
242.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1025
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2494
40.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6047
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
12033
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
7152
8.38 IPS |
|
|
Object Detection (SP)
|
100% |
1157
91.8 IPS |
|
|
Object Detection (HP)
|
97% |
2149
171.1 IPS |
|
|
Object Detection (Q)
|
94% |
1593
127.0 IPS |
|
|
Face Detection (SP)
|
100% |
2202
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
4473
53.2 IPS |
|
|
Face Detection (Q)
|
100% |
3129
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5587
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10416
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7346
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15712
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24919
32.0 IPS |
|
|
Style Transfer (Q)
|
96% |
15206
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3168
117.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4217
155.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3448
127.3 IPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
99% |
4162
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4143
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2490
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4698
81.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4413
76.3 IPS |
