iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3225
Single Precision Score
15486
Half Precision Score
15150
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cuber |
| Upload Date | January 22 2025 09:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
6219
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5813
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9759
158.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9980
161.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6537
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
67685
79.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66436
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
7294
580.3 IPS |
|
|
Object Detection (Q)
|
91% |
6687
534.3 IPS |
|
|
Face Detection (SP)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16493
196.0 IPS |
|
|
Face Detection (Q)
|
100% |
15240
181.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5802
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47224
363.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
47310
369.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17126
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119827
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
112813
145.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3753
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23005
849.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23761
877.4 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3810
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3765
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2476
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3237
55.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3398
58.7 IPS |
