iPad Pro 13-inch (M4)
Geekbench AI Score
4719
Single Precision Score
37037
Half Precision Score
53409
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 12 2025 01:18 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2014
374.5 IPS |
|
|
Image Classification (HP)
|
100% |
17805
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
27910
5.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22061
357.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30789
499.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10026
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124161
144.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232831
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2248
178.3 IPS |
|
|
Object Detection (HP)
|
100% |
18482
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26685
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3967
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
42454
504.4 IPS |
|
|
Face Detection (Q)
|
100% |
63738
757.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8323
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99317
765.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168876
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25136
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234643
301.6 IPS |
|
|
Style Transfer (Q)
|
96% |
297728
384.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5838
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49223
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89024
3.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6726
8.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6766
9.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16454
283.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18327
316.7 IPS |
