iPhone17,3
Geekbench AI Score
4248
Single Precision Score
32602
Half Precision Score
45034
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 01:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,3 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1915
356.2 IPS |
|
|
Image Classification (HP)
|
100% |
15424
2.87 KIPS |
|
|
Image Classification (Q)
|
97% |
20615
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14607
236.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18101
293.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8534
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
154323
180.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
292971
343.4 IPS |
|
|
Object Detection (SP)
|
100% |
2072
164.4 IPS |
|
|
Object Detection (HP)
|
100% |
16397
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22364
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
40314
479.0 IPS |
|
|
Face Detection (Q)
|
100% |
54468
647.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7482
57.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95476
735.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
164480
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
21069
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244754
314.6 IPS |
|
|
Style Transfer (Q)
|
96% |
305157
393.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5249
193.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51652
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87097
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4955
6.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4936
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3511
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9870
170.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11942
206.4 IPS |
