iPhone 13 Pro
Geekbench ML Score
4970
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | August 17 2024 06:35 AM |
| Views | 1 |
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% |
1134
212.3 IPS |
|
|
Image Classification (F16)
|
100% |
5276
987.2 IPS |
|
|
Image Classification (I8)
|
99% |
4632
866.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1200
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1570
26.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1537
25.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
10712
13.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
74347
90.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
63232
76.6 IPS |
|
|
Object Detection (F32)
|
100% |
1366
102.0 IPS |
|
|
Object Detection (F16)
|
100% |
3432
256.2 IPS |
|
|
Object Detection (I8)
|
97% |
1402
104.6 IPS |
|
|
Face Detection (F32)
|
100% |
4345
51.7 IPS |
|
|
Face Detection (F16)
|
97% |
9956
118.4 IPS |
|
|
Face Detection (I8)
|
96% |
8855
105.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
8940
69.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
30890
239.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
34811
270.0 IPS |
|
|
Style Transfer (F32)
|
100% |
18908
24.9 IPS |
|
|
Style Transfer (F16)
|
100% |
104397
137.3 IPS |
|
|
Style Transfer (I8)
|
100% |
97482
128.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4977
177.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13757
491.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
13329
476.0 IPS |
|
|
Text Classification (F32)
|
100% |
378
543.2 IPS |
|
|
Text Classification (F16)
|
100% |
867
1.25 KIPS |
|
|
Text Classification (I8)
|
96% |
383
549.9 IPS |
|
|
Machine Translation (F32)
|
100% |
575
10.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1133
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
555
10.2 IPS |
