iPad Pro 11-inch (M4)
Geekbench AI Score
4799
Single Precision Score
36663
Half Precision Score
52619
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 10:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro 11-inch (M4) |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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 | 15.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1983
368.7 IPS |
|
|
Image Classification (HP)
|
100% |
17273
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
28384
5.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22029
357.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30360
492.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10043
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123459
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232450
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2238
177.6 IPS |
|
|
Object Detection (HP)
|
100% |
18484
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25981
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3972
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
43524
517.2 IPS |
|
|
Face Detection (Q)
|
100% |
62538
743.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8266
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99266
764.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
168163
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25134
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233893
300.7 IPS |
|
|
Style Transfer (Q)
|
96% |
298551
385.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5878
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49298
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86189
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3498
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
6173
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6361
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4051
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16436
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18166
313.9 IPS |
