iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3090
Single Precision Score
15106
Half Precision Score
14825
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 15 2025 11:24 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1309
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
6332
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5763
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8970
145.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9071
147.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5995
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
67804
79.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
64866
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (HP)
|
99% |
6438
512.1 IPS |
|
|
Object Detection (Q)
|
91% |
6787
542.3 IPS |
|
|
Face Detection (SP)
|
100% |
2860
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
14148
168.1 IPS |
|
|
Face Detection (Q)
|
100% |
13182
156.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5418
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47285
364.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
46941
366.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16289
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
120596
155.0 IPS |
|
|
Style Transfer (Q)
|
96% |
114531
147.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3503
129.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24390
900.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24464
903.3 IPS |
|
|
Text Classification (SP)
|
100% |
2470
3.30 KIPS |
|
|
Text Classification (HP)
|
99% |
4446
5.93 KIPS |
|
|
Text Classification (Q)
|
93% |
4421
5.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2496
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2853
49.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2908
50.3 IPS |
