iPhone17,2
Geekbench AI Score
5689
Single Precision Score
6759
Half Precision Score
6095
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | esahins |
| Upload Date | November 12 2024 02:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2889
537.3 IPS |
|
|
Image Classification (HP)
|
100% |
2821
524.7 IPS |
|
|
Image Classification (Q)
|
97% |
2647
494.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3373
54.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4406
71.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4328
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15671
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16281
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15238
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3154
250.2 IPS |
|
|
Object Detection (HP)
|
100% |
3476
275.7 IPS |
|
|
Object Detection (Q)
|
91% |
2719
217.3 IPS |
|
|
Face Detection (SP)
|
100% |
7813
92.8 IPS |
|
|
Face Detection (HP)
|
100% |
10653
126.6 IPS |
|
|
Face Detection (Q)
|
100% |
7282
86.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13376
103.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14409
111.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11386
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32847
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39431
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
36029
46.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8025
296.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8478
313.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6866
253.5 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5853
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
6040
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1204
20.8 IPS |
