iPad Pro 11-inch (M4)
Geekbench AI Score
4720
Single Precision Score
36641
Half Precision Score
51637
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 03:34 AM |
| Views | 1 |
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 | iPad16,4 |
| Motherboard | J718AP |
| 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% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
17247
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
24919
4.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22053
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30519
494.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10078
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123467
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
233169
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2248
178.3 IPS |
|
|
Object Detection (HP)
|
100% |
18460
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25539
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
3990
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
42262
502.2 IPS |
|
|
Face Detection (Q)
|
100% |
62963
748.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8314
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99713
768.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168887
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25096
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
235098
302.2 IPS |
|
|
Style Transfer (Q)
|
96% |
297213
383.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5844
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48473
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83247
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6327
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6246
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3912
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16563
285.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18113
313.0 IPS |
