iPad Pro 13-inch (M4)
Geekbench AI Score
4725
Single Precision Score
36386
Half Precision Score
51063
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 15 2025 08:55 AM |
| Views | 1 |
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 | iPad16,5 |
| 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% |
2012
374.2 IPS |
|
|
Image Classification (HP)
|
100% |
17230
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
23441
4.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21994
356.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30075
487.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10000
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123625
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232406
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2242
177.8 IPS |
|
|
Object Detection (HP)
|
100% |
18347
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26047
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3926
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
43263
514.1 IPS |
|
|
Face Detection (Q)
|
100% |
62520
742.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8297
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98659
760.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
166984
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25197
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233627
300.3 IPS |
|
|
Style Transfer (Q)
|
96% |
297683
384.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5901
217.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48570
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83735
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6009
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6086
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3907
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16262
280.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17832
308.2 IPS |
