iPad16,6
Geekbench AI Score
4704
Single Precision Score
37062
Half Precision Score
52393
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | icreatefrance |
| Upload Date | November 09 2024 12:48 PM |
| Views | 7 |
| Notes | iPad Pro M4 2024 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1980
368.2 IPS |
|
|
Image Classification (HP)
|
100% |
18379
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
26237
4.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21826
353.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30221
489.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9945
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123422
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232801
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2229
176.8 IPS |
|
|
Object Detection (HP)
|
100% |
18415
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25921
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4046
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
43202
513.3 IPS |
|
|
Face Detection (Q)
|
100% |
63134
750.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8330
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
100286
772.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
170733
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25110
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234028
300.8 IPS |
|
|
Style Transfer (Q)
|
96% |
301681
389.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5848
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50821
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85197
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6297
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6615
8.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3881
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16532
284.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17775
307.2 IPS |
