iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3445
Single Precision Score
27105
Half Precision Score
30248
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 08:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1376
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
14074
2.62 KIPS |
|
|
Image Classification (Q)
|
96% |
14577
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18938
307.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23719
384.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6887
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
100762
117.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105081
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
99% |
14971
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16967
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3173
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
33121
393.6 IPS |
|
|
Face Detection (Q)
|
100% |
41438
492.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5654
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
84826
653.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
105024
820.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18820
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
201548
259.1 IPS |
|
|
Style Transfer (Q)
|
96% |
188922
243.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4031
148.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38382
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46314
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2166
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3612
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3605
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3543
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6782
116.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7579
131.0 IPS |
