iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3169
Single Precision Score
5655
Half Precision Score
4625
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dgbrownnt |
| Upload Date | February 28 2025 08:26 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 15.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1265
235.2 IPS |
|
|
Image Classification (HP)
|
100% |
2336
434.3 IPS |
|
|
Image Classification (Q)
|
96% |
1708
319.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2782
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6441
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
14244
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12446
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
97% |
2792
222.3 IPS |
|
|
Object Detection (Q)
|
94% |
1963
156.5 IPS |
|
|
Face Detection (SP)
|
100% |
2777
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
5541
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
3247
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5267
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10776
83.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7556
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16902
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26958
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22648
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3844
142.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4870
179.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3550
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
2209
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3669
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3689
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3182
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5286
91.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5305
91.7 IPS |
