iPad Pro 11-inch (M4)
Geekbench AI Score
4738
Single Precision Score
36363
Half Precision Score
51251
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | austinh |
| Upload Date | December 12 2024 04:44 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2023
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
17129
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
24216
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22175
359.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30618
496.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10087
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123697
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232374
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2253
178.7 IPS |
|
|
Object Detection (HP)
|
100% |
18272
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26170
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4011
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
42147
500.8 IPS |
|
|
Face Detection (Q)
|
100% |
62717
745.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8308
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98997
762.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
167569
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25155
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232577
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
297249
383.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5867
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49262
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82294
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5991
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5972
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16443
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18064
312.2 IPS |
