iPad Pro 13-inch (M4)
Geekbench AI Score
4804
Single Precision Score
36839
Half Precision Score
51738
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 31 2025 01:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2061
383.2 IPS |
|
|
Image Classification (HP)
|
100% |
18871
3.51 KIPS |
|
|
Image Classification (Q)
|
97% |
24455
4.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22050
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30200
489.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9905
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122862
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
231211
271.0 IPS |
|
|
Object Detection (SP)
|
100% |
2426
192.4 IPS |
|
|
Object Detection (HP)
|
100% |
18657
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
25979
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4286
50.9 IPS |
|
|
Face Detection (HP)
|
100% |
42489
504.9 IPS |
|
|
Face Detection (Q)
|
100% |
63024
748.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8551
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98626
759.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
166456
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21824
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
235284
302.5 IPS |
|
|
Style Transfer (Q)
|
96% |
297630
384.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6076
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49260
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86128
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6046
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6212
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4399
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16438
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18546
320.5 IPS |
