iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
2806
Single Precision Score
12741
Half Precision Score
13025
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 11:58 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 | iPad13,10 |
| 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% |
1297
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
5954
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
3236
604.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1037
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8760
142.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9138
148.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5808
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
68980
80.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
64625
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1184
93.9 IPS |
|
|
Object Detection (HP)
|
99% |
6559
521.8 IPS |
|
|
Object Detection (Q)
|
91% |
6291
502.7 IPS |
|
|
Face Detection (SP)
|
100% |
2451
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
12689
150.8 IPS |
|
|
Face Detection (Q)
|
100% |
13153
156.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5268
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
43709
336.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
44478
347.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12963
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
84369
108.5 IPS |
|
|
Style Transfer (Q)
|
96% |
82690
106.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3234
119.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9011
332.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23093
852.7 IPS |
|
|
Text Classification (SP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4181
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4179
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2494
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2710
46.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2504
43.3 IPS |
