iPhone17,2
Geekbench AI Score
4334
Single Precision Score
7557
Half Precision Score
6016
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ehixson |
| Upload Date | October 11 2024 02:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1972
366.7 IPS |
|
|
Image Classification (HP)
|
100% |
3352
623.4 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1903
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2914
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3332
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8326
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
16803
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14483
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1990
157.8 IPS |
|
|
Object Detection (HP)
|
97% |
3690
293.7 IPS |
|
|
Object Detection (Q)
|
94% |
2608
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
3406
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
7272
86.4 IPS |
|
|
Face Detection (Q)
|
100% |
3973
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7286
56.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13438
103.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9277
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22807
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36004
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29403
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5272
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6859
253.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4845
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
3450
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5985
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5957
7.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3654
62.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6947
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6945
120.0 IPS |
