iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3085
Single Precision Score
5411
Half Precision Score
4440
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 11:45 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1310
243.7 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.4 IPS |
|
|
Image Classification (Q)
|
96% |
1568
292.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2522
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6028
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14115
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12121
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (HP)
|
97% |
2404
191.4 IPS |
|
|
Object Detection (Q)
|
94% |
1791
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
2966
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5427
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3171
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5493
42.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10440
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7372
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16516
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26231
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21870
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3463
127.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4615
170.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3489
128.8 IPS |
|
|
Text Classification (SP)
|
100% |
2387
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4253
5.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4151
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2468
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4679
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4687
81.0 IPS |
