iPhone17,2
Geekbench AI Score
5714
Single Precision Score
6741
Half Precision Score
6093
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | barcellos |
| Upload Date | October 02 2024 12:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
3026
562.7 IPS |
|
|
Image Classification (HP)
|
100% |
2733
508.3 IPS |
|
|
Image Classification (Q)
|
97% |
2631
491.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3305
53.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4408
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4325
70.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15729
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16490
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15232
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3189
252.9 IPS |
|
|
Object Detection (HP)
|
100% |
3458
274.3 IPS |
|
|
Object Detection (Q)
|
91% |
2782
222.3 IPS |
|
|
Face Detection (SP)
|
100% |
7452
88.5 IPS |
|
|
Face Detection (HP)
|
100% |
10559
125.5 IPS |
|
|
Face Detection (Q)
|
100% |
7243
86.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13377
103.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14513
111.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
11524
90.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32740
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39359
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
35260
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8059
297.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8451
312.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6765
249.8 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5868
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5912
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1244
21.5 IPS |
