iPhone 15 Pro
Geekbench ML Score
5830
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | January 18 2024 03:10 AM |
| Views | 1 |
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% |
1302
243.6 IPS |
|
|
Image Classification (F16)
|
100% |
6063
1.13 KIPS |
|
|
Image Classification (I8)
|
99% |
6689
1.25 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1383
23.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1794
30.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1839
30.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
14570
17.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
82945
100.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
84370
102.2 IPS |
|
|
Object Detection (F32)
|
100% |
1462
109.2 IPS |
|
|
Object Detection (F16)
|
100% |
3939
294.1 IPS |
|
|
Object Detection (I8)
|
97% |
1661
124.0 IPS |
|
|
Face Detection (F32)
|
100% |
6382
75.9 IPS |
|
|
Face Detection (F16)
|
97% |
10574
125.7 IPS |
|
|
Face Detection (I8)
|
96% |
10476
124.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12084
93.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
38551
299.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
39221
304.2 IPS |
|
|
Style Transfer (F32)
|
100% |
27603
36.3 IPS |
|
|
Style Transfer (F16)
|
100% |
121138
159.3 IPS |
|
|
Style Transfer (I8)
|
100% |
119172
156.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6954
248.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17664
630.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17070
609.6 IPS |
|
|
Text Classification (F32)
|
100% |
426
612.5 IPS |
|
|
Text Classification (F16)
|
100% |
436
626.0 IPS |
|
|
Text Classification (I8)
|
96% |
276
396.1 IPS |
|
|
Machine Translation (F32)
|
100% |
717
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1528
28.1 IPS |
|
|
Machine Translation (I8)
|
99% |
658
12.1 IPS |
