iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3108
Single Precision Score
14166
Half Precision Score
13855
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:52 AM |
| Views | 2 |
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% |
1309
243.4 IPS |
|
|
Image Classification (HP)
|
100% |
5787
1.08 KIPS |
|
|
Image Classification (Q)
|
96% |
5591
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8871
143.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9140
148.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6011
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
67302
78.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
64422
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (HP)
|
99% |
6452
513.3 IPS |
|
|
Object Detection (Q)
|
91% |
5948
475.2 IPS |
|
|
Face Detection (SP)
|
100% |
2993
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
12311
146.3 IPS |
|
|
Face Detection (Q)
|
100% |
11801
140.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5482
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
41880
322.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
42347
330.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16458
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
118935
152.9 IPS |
|
|
Style Transfer (Q)
|
96% |
113966
147.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3461
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22591
834.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22367
825.9 IPS |
|
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (HP)
|
99% |
4300
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4209
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2452
42.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2484
42.9 IPS |
