iPhone17,2
Geekbench AI Score
5881
Single Precision Score
6775
Half Precision Score
6234
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | October 15 2024 11:48 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3023
562.1 IPS |
|
|
Image Classification (HP)
|
100% |
2473
460.0 IPS |
|
|
Image Classification (Q)
|
97% |
2909
543.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3447
55.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4474
72.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4441
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15823
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16442
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15726
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3214
254.9 IPS |
|
|
Object Detection (HP)
|
100% |
3560
282.4 IPS |
|
|
Object Detection (Q)
|
91% |
2917
233.1 IPS |
|
|
Face Detection (SP)
|
100% |
8027
95.4 IPS |
|
|
Face Detection (HP)
|
100% |
11215
133.3 IPS |
|
|
Face Detection (Q)
|
100% |
7720
91.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14103
108.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15440
119.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12499
97.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32732
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38578
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37353
48.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8086
298.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8502
313.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6838
252.5 IPS |
|
|
Text Classification (SP)
|
100% |
3451
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5959
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5879
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
930
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1033
17.8 IPS |
