iPad Pro 13-inch (M4)
Geekbench AI Score
4719
Single Precision Score
36393
Half Precision Score
51327
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 29 2024 06:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad Pro 13-inch (M4) |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2024
376.4 IPS |
|
|
Image Classification (HP)
|
100% |
17240
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
24511
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21905
355.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30244
490.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10033
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123835
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232068
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2257
179.0 IPS |
|
|
Object Detection (HP)
|
100% |
18220
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26126
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
3996
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
42427
504.1 IPS |
|
|
Face Detection (Q)
|
100% |
62744
745.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8314
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98503
758.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
167485
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25207
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
234666
301.7 IPS |
|
|
Style Transfer (Q)
|
96% |
298439
385.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5875
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49550
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83479
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5986
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
6031
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3883
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16447
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17884
309.1 IPS |
