iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3284
Single Precision Score
5789
Half Precision Score
4701
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Jloloew |
| Upload Date | September 10 2024 02:49 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1282
238.4 IPS |
|
|
Image Classification (HP)
|
100% |
2343
435.7 IPS |
|
|
Image Classification (Q)
|
96% |
1709
319.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1454
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2781
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6489
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14660
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12493
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
97% |
2799
222.8 IPS |
|
|
Object Detection (Q)
|
94% |
2031
161.9 IPS |
|
|
Face Detection (SP)
|
100% |
2886
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
5792
68.8 IPS |
|
|
Face Detection (Q)
|
100% |
3273
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5454
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11042
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7668
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18080
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27978
36.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23452
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4027
148.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4877
180.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3537
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3772
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3759
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3354
57.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5566
96.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5594
96.7 IPS |
