iPhone17,2
Geekbench AI Score
4445
Single Precision Score
7670
Half Precision Score
6118
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | October 19 2024 06:34 PM |
| Views | 19 |
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 | 4.02 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1980
368.1 IPS |
|
|
Image Classification (HP)
|
100% |
3346
622.3 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2910
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3368
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8670
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17943
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15252
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2103
166.8 IPS |
|
|
Object Detection (HP)
|
97% |
3724
296.4 IPS |
|
|
Object Detection (Q)
|
94% |
2623
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3520
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7348
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
4148
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7548
58.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13882
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9637
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23574
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37292
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30117
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5496
202.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6935
256.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4867
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5919
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5884
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3693
63.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6936
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6941
120.0 IPS |
