iPad Pro 13-inch (M4)
Geekbench AI Score
4870
Single Precision Score
36418
Half Precision Score
52018
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dynamiteCobra88 |
| Upload Date | April 10 2025 06:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2096
389.8 IPS |
|
|
Image Classification (HP)
|
100% |
17469
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
28103
5.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2229
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22058
357.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30363
492.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9976
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122887
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
230776
270.5 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
100% |
18157
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25525
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4390
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
42186
501.3 IPS |
|
|
Face Detection (Q)
|
100% |
62972
748.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8707
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98809
761.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
165465
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
21928
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233317
299.9 IPS |
|
|
Style Transfer (Q)
|
96% |
298803
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6045
223.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50132
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82585
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5973
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
6245
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4439
76.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16393
282.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17975
310.6 IPS |
