iPad Pro 13-inch (M4)
Geekbench AI Score
4840
Single Precision Score
36426
Half Precision Score
51489
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 11 2025 06:13 PM |
| Views | 3 |
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 | iPad16,5 |
| Motherboard | J720AP |
| 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% |
2092
389.1 IPS |
|
|
Image Classification (HP)
|
100% |
17459
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
24787
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22032
357.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30243
490.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10032
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122907
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
230650
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2428
192.6 IPS |
|
|
Object Detection (HP)
|
100% |
18191
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
26235
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4290
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
42104
500.3 IPS |
|
|
Face Detection (Q)
|
100% |
62890
747.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8605
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98719
760.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
166297
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21861
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
235514
302.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298171
384.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6048
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48836
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83279
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2913
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6029
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
6239
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4414
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16592
285.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17820
307.9 IPS |
