iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3091
Single Precision Score
14597
Half Precision Score
14353
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 12:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1308
243.2 IPS |
|
|
Image Classification (HP)
|
100% |
6230
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5859
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8887
144.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9140
148.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6032
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
67279
78.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
65267
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.2 IPS |
|
|
Object Detection (HP)
|
99% |
6643
528.4 IPS |
|
|
Object Detection (Q)
|
91% |
6208
496.0 IPS |
|
|
Face Detection (SP)
|
100% |
2989
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
12818
152.3 IPS |
|
|
Face Detection (Q)
|
100% |
12053
143.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5468
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
42117
324.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
42755
334.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16503
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
118980
153.0 IPS |
|
|
Style Transfer (Q)
|
96% |
112282
144.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3465
127.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23575
870.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23458
866.2 IPS |
|
|
Text Classification (SP)
|
100% |
2387
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4189
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4188
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2479
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2798
48.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3010
52.0 IPS |
