iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3090
Single Precision Score
14342
Half Precision Score
14055
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | rodrigo_rl |
| Upload Date | March 05 2026 05:48 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
5910
1.10 KIPS |
|
|
Image Classification (Q)
|
96% |
5645
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8835
143.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9094
147.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5998
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
67245
78.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
64449
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.7 IPS |
|
|
Object Detection (HP)
|
99% |
6682
531.5 IPS |
|
|
Object Detection (Q)
|
91% |
6073
485.3 IPS |
|
|
Face Detection (SP)
|
100% |
2972
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
12604
149.8 IPS |
|
|
Face Detection (Q)
|
100% |
12541
149.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5472
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
41745
321.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
42475
331.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16492
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
118913
152.9 IPS |
|
|
Style Transfer (Q)
|
96% |
112241
144.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3451
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23245
858.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22890
845.2 IPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4197
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4190
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2572
44.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2612
45.1 IPS |
