iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5318
Single Precision Score
6172
Half Precision Score
5775
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Matso |
| Upload Date | March 11 2026 02:22 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1941
361.1 IPS |
|
|
Image Classification (HP)
|
100% |
1943
361.3 IPS |
|
|
Image Classification (Q)
|
94% |
2057
384.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3999
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4258
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4121
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16880
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19065
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
18253
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2690
213.4 IPS |
|
|
Object Detection (HP)
|
100% |
2845
225.7 IPS |
|
|
Object Detection (Q)
|
91% |
2540
203.0 IPS |
|
|
Face Detection (SP)
|
100% |
6961
82.7 IPS |
|
|
Face Detection (HP)
|
100% |
8908
105.8 IPS |
|
|
Face Detection (Q)
|
100% |
8009
95.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12429
95.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13809
106.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12958
101.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29478
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34992
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
34273
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6370
235.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7244
267.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5880
217.1 IPS |
|
|
Text Classification (SP)
|
100% |
2398
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4218
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4202
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1360
23.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1196
20.7 IPS |
