iPhone17,2
Geekbench AI Score
5786
Single Precision Score
6847
Half Precision Score
6159
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | adhame95 |
| Upload Date | September 29 2024 09:15 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% |
3066
570.1 IPS |
|
|
Image Classification (HP)
|
100% |
3066
570.2 IPS |
|
|
Image Classification (Q)
|
97% |
2674
499.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3434
55.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4441
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4393
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15722
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16670
19.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15194
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
3267
259.2 IPS |
|
|
Object Detection (HP)
|
100% |
3469
275.1 IPS |
|
|
Object Detection (Q)
|
91% |
2773
221.6 IPS |
|
|
Face Detection (SP)
|
100% |
7561
89.8 IPS |
|
|
Face Detection (HP)
|
100% |
10819
128.6 IPS |
|
|
Face Detection (Q)
|
100% |
7420
88.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13408
103.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14972
115.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11612
90.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32953
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37964
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
37072
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8123
299.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8534
315.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6931
255.9 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5924
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5903
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
926
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1215
21.0 IPS |
