iPad Pro 11-inch (M4)
Geekbench AI Score
4687
Single Precision Score
36753
Half Precision Score
49463
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | wp4 |
| Upload Date | January 15 2025 03:40 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
2001
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
17441
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
26870
5.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22052
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30525
494.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10074
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123239
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231748
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.2 IPS |
|
|
Object Detection (HP)
|
100% |
18377
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25878
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3970
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
43816
520.6 IPS |
|
|
Face Detection (Q)
|
100% |
62815
746.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8264
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98587
759.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
172056
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
25161
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234740
301.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298744
385.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5868
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48796
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75285
2.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2800
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
6533
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6547
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3938
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
15972
275.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11200
193.5 IPS |
