iPad Pro 11-inch (M4)
Geekbench AI Score
4862
Single Precision Score
36398
Half Precision Score
51494
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 04 2025 10:23 AM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2098
390.2 IPS |
|
|
Image Classification (HP)
|
100% |
16984
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
24949
4.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22048
357.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30430
493.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10054
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122793
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
230686
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2429
192.6 IPS |
|
|
Object Detection (HP)
|
100% |
18136
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25381
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4327
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
42442
504.3 IPS |
|
|
Face Detection (Q)
|
100% |
62857
746.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8629
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98590
759.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
166573
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21949
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233256
299.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297051
383.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6140
226.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48982
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82609
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2912
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6244
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6468
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4444
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16397
282.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17747
306.7 IPS |
