iPhone17,1
Geekbench ML Score
10204
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | September 25 2024 09:56 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 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 | 7.49 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1425
266.7 IPS |
|
|
Image Classification (F16)
|
100% |
12360
2.31 KIPS |
|
|
Image Classification (I8)
|
99% |
14635
2.74 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1497
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2882
48.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
2889
48.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
15119
18.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
136513
165.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
139784
169.3 IPS |
|
|
Object Detection (F32)
|
100% |
1392
103.9 IPS |
|
|
Object Detection (F16)
|
100% |
6466
482.7 IPS |
|
|
Object Detection (I8)
|
97% |
1533
114.5 IPS |
|
|
Face Detection (F32)
|
100% |
6778
80.6 IPS |
|
|
Face Detection (F16)
|
97% |
21669
257.6 IPS |
|
|
Face Detection (I8)
|
96% |
21510
255.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
13761
106.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
63553
492.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
81489
631.9 IPS |
|
|
Style Transfer (F32)
|
100% |
32510
42.8 IPS |
|
|
Style Transfer (F16)
|
100% |
151044
198.7 IPS |
|
|
Style Transfer (I8)
|
100% |
150114
197.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7216
257.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
44754
1.60 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
45454
1.62 KIPS |
|
|
Text Classification (F32)
|
100% |
3153
4.53 KIPS |
|
|
Text Classification (F16)
|
100% |
5305
7.62 KIPS |
|
|
Text Classification (I8)
|
96% |
5337
7.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
592
10.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1705
31.4 IPS |
|
|
Machine Translation (I8)
|
99% |
653
12.0 IPS |
