iPhone 13 Pro
Geekbench ML Score
5056
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | July 26 2024 12:19 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1018
190.6 IPS |
|
|
Image Classification (F16)
|
100% |
4591
859.1 IPS |
|
|
Image Classification (I8)
|
99% |
5853
1.10 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1213
20.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1561
26.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1624
27.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
10839
13.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
72170
87.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
76609
92.8 IPS |
|
|
Object Detection (F32)
|
100% |
1367
102.1 IPS |
|
|
Object Detection (F16)
|
100% |
3527
263.3 IPS |
|
|
Object Detection (I8)
|
97% |
1376
102.7 IPS |
|
|
Face Detection (F32)
|
100% |
4356
51.8 IPS |
|
|
Face Detection (F16)
|
97% |
9872
117.4 IPS |
|
|
Face Detection (I8)
|
96% |
9984
118.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8786
68.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
34805
269.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
33491
259.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18728
24.6 IPS |
|
|
Style Transfer (F16)
|
100% |
98132
129.1 IPS |
|
|
Style Transfer (I8)
|
100% |
98779
129.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4785
170.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14199
507.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15320
547.1 IPS |
|
|
Text Classification (F32)
|
100% |
368
528.6 IPS |
|
|
Text Classification (F16)
|
100% |
825
1.19 KIPS |
|
|
Text Classification (I8)
|
96% |
376
541.0 IPS |
|
|
Machine Translation (F32)
|
100% |
596
11.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1181
21.7 IPS |
|
|
Machine Translation (I8)
|
99% |
584
10.7 IPS |
