iPad Pro 13-inch (M4)
Geekbench AI Score
4710
Single Precision Score
36562
Half Precision Score
51240
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | March 19 2025 07:19 PM |
| Views | 4 |
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% |
2001
372.1 IPS |
|
|
Image Classification (HP)
|
100% |
17208
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
23544
4.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22102
358.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30291
491.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10060
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123867
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232341
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (HP)
|
100% |
18410
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25642
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3977
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
41644
494.8 IPS |
|
|
Face Detection (Q)
|
100% |
62475
742.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8294
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99427
766.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
166833
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
25035
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233913
300.7 IPS |
|
|
Style Transfer (Q)
|
96% |
298621
385.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5789
213.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48478
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83242
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6440
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6345
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3904
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16280
280.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17864
308.7 IPS |
