iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3208
Single Precision Score
15744
Half Precision Score
15499
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ajsolomon |
| Upload Date | December 03 2025 12:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
6208
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5966
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9733
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9948
161.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6498
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
69471
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66735
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
7205
573.2 IPS |
|
|
Object Detection (Q)
|
91% |
6727
537.5 IPS |
|
|
Face Detection (SP)
|
100% |
3037
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16432
195.2 IPS |
|
|
Face Detection (Q)
|
100% |
15362
182.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5669
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47269
364.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
48679
380.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16984
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121341
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
114931
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3683
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23296
860.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24030
887.3 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4010
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4029
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2482
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3515
60.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3610
62.4 IPS |
