iPad Pro 11-inch (M4)
Geekbench AI Score
4832
Single Precision Score
36839
Half Precision Score
52402
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 26 2025 09:55 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2053
381.8 IPS |
|
|
Image Classification (HP)
|
100% |
17310
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
25392
4.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22228
360.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30465
493.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9987
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122874
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232446
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2410
191.1 IPS |
|
|
Object Detection (HP)
|
100% |
18654
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26193
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4320
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
42788
508.4 IPS |
|
|
Face Detection (Q)
|
100% |
64642
768.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8619
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98949
762.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
166311
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21816
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
234237
301.1 IPS |
|
|
Style Transfer (Q)
|
96% |
300835
388.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6067
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49166
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85504
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2955
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6403
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6574
8.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4422
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16720
288.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18235
315.1 IPS |
