iPhone 15 Pro
Geekbench ML Score
5873
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| User | Rng809 |
| Upload Date | January 09 2024 11:01 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 17.2.1 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 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 | 7.50 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1238
231.7 IPS |
|
|
Image Classification (F16)
|
100% |
6100
1.14 KIPS |
|
|
Image Classification (I8)
|
99% |
6670
1.25 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1472
24.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1904
31.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1857
31.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
14898
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
82967
100.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
83992
101.7 IPS |
|
|
Object Detection (F32)
|
100% |
1610
120.2 IPS |
|
|
Object Detection (F16)
|
100% |
3904
291.5 IPS |
|
|
Object Detection (I8)
|
97% |
1573
117.5 IPS |
|
|
Face Detection (F32)
|
100% |
6223
74.0 IPS |
|
|
Face Detection (F16)
|
97% |
10501
124.9 IPS |
|
|
Face Detection (I8)
|
96% |
10544
125.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12495
96.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
37214
288.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
39763
308.4 IPS |
|
|
Style Transfer (F32)
|
100% |
29798
39.2 IPS |
|
|
Style Transfer (F16)
|
100% |
119752
157.5 IPS |
|
|
Style Transfer (I8)
|
100% |
115408
151.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7118
254.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18069
645.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17357
619.9 IPS |
|
|
Text Classification (F32)
|
100% |
425
610.3 IPS |
|
|
Text Classification (F16)
|
100% |
433
622.8 IPS |
|
|
Text Classification (I8)
|
96% |
277
398.6 IPS |
|
|
Machine Translation (F32)
|
100% |
726
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1504
27.7 IPS |
|
|
Machine Translation (I8)
|
99% |
665
12.2 IPS |
