iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3090
Single Precision Score
14241
Half Precision Score
13917
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 06:37 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
5837
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5706
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8843
143.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9076
147.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6016
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
67177
78.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
64500
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (HP)
|
99% |
6312
502.1 IPS |
|
|
Object Detection (Q)
|
91% |
5998
479.2 IPS |
|
|
Face Detection (SP)
|
100% |
3000
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
12547
149.1 IPS |
|
|
Face Detection (Q)
|
100% |
11667
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5446
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
41838
322.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
42612
333.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16508
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
118819
152.7 IPS |
|
|
Style Transfer (Q)
|
96% |
111658
144.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3464
127.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24070
888.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22627
835.5 IPS |
|
|
Text Classification (SP)
|
100% |
2394
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4227
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4204
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2476
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2471
42.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2577
44.5 IPS |
