iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3081
Single Precision Score
13946
Half Precision Score
13557
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 11:51 AM |
| 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 | iPad13,11 |
| Motherboard | J523xAP |
| 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 | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1296
241.1 IPS |
|
|
Image Classification (HP)
|
100% |
5746
1.07 KIPS |
|
|
Image Classification (Q)
|
96% |
5356
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8790
142.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9037
146.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6002
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
67110
78.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
64464
75.6 IPS |
|
|
Object Detection (SP)
|
100% |
1379
109.4 IPS |
|
|
Object Detection (HP)
|
99% |
6295
500.8 IPS |
|
|
Object Detection (Q)
|
91% |
5860
468.3 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
12022
142.9 IPS |
|
|
Face Detection (Q)
|
100% |
11178
132.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5456
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
41156
317.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
41582
324.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16448
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
118931
152.9 IPS |
|
|
Style Transfer (Q)
|
96% |
112214
144.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3455
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22480
830.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22206
820.0 IPS |
|
|
Text Classification (SP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4210
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4164
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2465
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2343
40.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2379
41.1 IPS |
