iPad Pro 11-inch (M4)
Geekbench AI Score
4715
Single Precision Score
36181
Half Precision Score
51466
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | atrophyalive |
| Upload Date | December 20 2024 03:47 AM |
| Views | 16 |
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 | iPad16,3 |
| Motherboard | J717AP |
| 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% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
17054
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
24811
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21950
355.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30075
487.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10055
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123582
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232296
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2251
178.6 IPS |
|
|
Object Detection (HP)
|
100% |
18217
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25500
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4012
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
41902
497.9 IPS |
|
|
Face Detection (Q)
|
100% |
62692
744.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8330
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99208
764.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
169500
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25223
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
234031
300.8 IPS |
|
|
Style Transfer (Q)
|
96% |
296650
382.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5866
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48623
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84275
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5899
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6186
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3881
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16348
281.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17949
310.2 IPS |
