iPhone17,2
Geekbench AI Score
4455
Single Precision Score
7678
Half Precision Score
6130
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 11:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1973
366.9 IPS |
|
|
Image Classification (HP)
|
100% |
3367
626.1 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2887
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3357
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8757
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17735
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15157
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2083
165.2 IPS |
|
|
Object Detection (HP)
|
97% |
3757
299.1 IPS |
|
|
Object Detection (Q)
|
94% |
2629
209.5 IPS |
|
|
Face Detection (SP)
|
100% |
3482
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
7274
86.4 IPS |
|
|
Face Detection (Q)
|
100% |
4165
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7651
58.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14069
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9619
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23869
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37254
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30305
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5551
205.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6938
256.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4949
182.7 IPS |
|
|
Text Classification (SP)
|
100% |
3438
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
6028
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5933
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3680
63.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6897
119.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6899
119.2 IPS |
