iPad Pro 13-inch (M4)
Geekbench AI Score
4564
Single Precision Score
37847
Half Precision Score
54940
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 27 2024 07:31 PM |
| 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% |
1932
359.4 IPS |
|
|
Image Classification (HP)
|
100% |
19213
3.57 KIPS |
|
|
Image Classification (Q)
|
97% |
29271
5.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21865
354.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30245
490.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9589
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123497
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231345
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2190
173.7 IPS |
|
|
Object Detection (HP)
|
100% |
18905
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
27257
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
3762
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
42823
508.8 IPS |
|
|
Face Detection (Q)
|
100% |
63373
753.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8141
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99639
767.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
172345
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24371
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
234650
301.6 IPS |
|
|
Style Transfer (Q)
|
96% |
297926
384.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5738
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49973
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
93324
3.45 KIPS |
|
|
Text Classification (SP)
|
100% |
3039
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
7898
10.5 KIPS |
|
|
Text Classification (Q)
|
93% |
8318
11.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
3695
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
15560
268.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17769
307.1 IPS |
