iPad Pro (M4) - 2025_0515 iPad Pro 13-inch (M4)
Geekbench AI Score
4816
Single Precision Score
37151
Half Precision Score
52905
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Barritz |
| Upload Date | May 16 2025 03:23 AM |
| Views | 7 |
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 | iPad16,6 |
| Motherboard | J721AP |
| 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% |
2046
380.5 IPS |
|
|
Image Classification (HP)
|
100% |
17981
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
26676
4.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22209
360.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30398
492.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9961
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122887
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232078
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2415
191.6 IPS |
|
|
Object Detection (HP)
|
100% |
19106
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
25967
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4265
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
43459
516.4 IPS |
|
|
Face Detection (Q)
|
100% |
63865
758.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8607
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99892
769.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
169651
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21581
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
235226
302.4 IPS |
|
|
Style Transfer (Q)
|
96% |
300884
388.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6105
225.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48757
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83971
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6415
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6974
9.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4420
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16729
288.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18414
318.2 IPS |
