iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3093
Single Precision Score
14951
Half Precision Score
14561
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | November 19 2025 08:47 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1309
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
6306
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5979
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8935
144.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9070
147.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6007
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
67801
79.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
64899
76.1 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.4 IPS |
|
|
Object Detection (HP)
|
99% |
6967
554.2 IPS |
|
|
Object Detection (Q)
|
91% |
6293
502.8 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
13123
155.9 IPS |
|
|
Face Detection (Q)
|
100% |
13233
157.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5478
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
46032
354.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
44472
347.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16478
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119073
153.1 IPS |
|
|
Style Transfer (Q)
|
96% |
112159
144.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3471
128.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23588
871.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23835
880.1 IPS |
|
|
Text Classification (SP)
|
100% |
2435
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4340
5.79 KIPS |
|
|
Text Classification (Q)
|
93% |
4204
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2848
49.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2926
50.6 IPS |
