iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3083
Single Precision Score
14190
Half Precision Score
13878
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 01:36 AM |
| Views | 9 |
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 | iPad13,9 |
| Motherboard | J522xAP |
| 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% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
5784
1.08 KIPS |
|
|
Image Classification (Q)
|
96% |
5511
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8790
142.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9132
148.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6011
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
66918
78.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
64274
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.6 IPS |
|
|
Object Detection (HP)
|
99% |
6250
497.2 IPS |
|
|
Object Detection (Q)
|
91% |
5903
471.7 IPS |
|
|
Face Detection (SP)
|
100% |
2952
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
12950
153.9 IPS |
|
|
Face Detection (Q)
|
100% |
11448
136.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5450
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
41303
318.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
44767
349.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16477
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
118470
152.3 IPS |
|
|
Style Transfer (Q)
|
96% |
111654
144.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3450
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24247
895.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22931
846.7 IPS |
|
|
Text Classification (SP)
|
100% |
2429
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4241
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4177
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2469
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2389
41.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2533
43.8 IPS |
