iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3199
Single Precision Score
5360
Half Precision Score
4408
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 09:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
2193
407.9 IPS |
|
|
Image Classification (Q)
|
96% |
1562
291.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2507
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6467
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
14177
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12174
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.8 IPS |
|
|
Object Detection (HP)
|
97% |
2400
191.0 IPS |
|
|
Object Detection (Q)
|
94% |
1774
141.4 IPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5388
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
3146
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5644
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10394
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7332
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16904
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26847
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22280
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3676
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4595
169.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3495
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3847
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3918
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2539
43.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4657
80.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4660
80.5 IPS |
