iPhone 13 Pro
Geekbench ML Score
5119
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 09 2024 12:08 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| 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 | 5.51 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1263
236.4 IPS |
|
|
Image Classification (F16)
|
100% |
5203
973.6 IPS |
|
|
Image Classification (I8)
|
99% |
5813
1.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1184
19.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1584
26.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1475
24.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
11144
13.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
76493
92.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
56043
67.9 IPS |
|
|
Object Detection (F32)
|
100% |
1439
107.4 IPS |
|
|
Object Detection (F16)
|
100% |
3663
273.4 IPS |
|
|
Object Detection (I8)
|
97% |
1631
121.8 IPS |
|
|
Face Detection (F32)
|
100% |
4626
55.0 IPS |
|
|
Face Detection (F16)
|
97% |
10764
128.0 IPS |
|
|
Face Detection (I8)
|
96% |
10642
126.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8507
66.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
34492
267.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
34750
269.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17479
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
107951
142.0 IPS |
|
|
Style Transfer (I8)
|
100% |
100537
132.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4175
149.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14813
529.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13433
479.7 IPS |
|
|
Text Classification (F32)
|
100% |
416
597.5 IPS |
|
|
Text Classification (F16)
|
100% |
813
1.17 KIPS |
|
|
Text Classification (I8)
|
96% |
386
555.1 IPS |
|
|
Machine Translation (F32)
|
100% |
574
10.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1597
29.4 IPS |
|
|
Machine Translation (I8)
|
99% |
427
7.85 IPS |
