Vision Pro M5 iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4000
Single Precision Score
6624
Half Precision Score
5481
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | billpugh |
| Upload Date | November 04 2025 03:00 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
3237
602.1 IPS |
|
|
Image Classification (Q)
|
96% |
2238
418.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2487
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2826
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7011
8.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
16346
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12469
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1973
156.5 IPS |
|
|
Object Detection (HP)
|
97% |
3080
245.2 IPS |
|
|
Object Detection (Q)
|
94% |
2198
175.2 IPS |
|
|
Face Detection (SP)
|
100% |
3808
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
6628
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3678
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6952
53.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
11190
86.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8019
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16660
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30248
38.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29105
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4324
159.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5800
214.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3878
143.2 IPS |
|
|
Text Classification (SP)
|
100% |
2552
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4743
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5729
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4557
78.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6508
112.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7404
127.9 IPS |
