iPhone17,2
Geekbench AI Score
5667
Single Precision Score
6551
Half Precision Score
6010
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | mmomega |
| Upload Date | September 21 2024 05:13 PM |
| Views | 3 |
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% |
2839
528.0 IPS |
|
|
Image Classification (HP)
|
100% |
2128
395.8 IPS |
|
|
Image Classification (Q)
|
97% |
2857
533.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3274
53.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4390
71.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4376
70.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15615
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
16371
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15600
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3129
248.2 IPS |
|
|
Object Detection (HP)
|
100% |
3462
274.6 IPS |
|
|
Object Detection (Q)
|
91% |
2828
226.0 IPS |
|
|
Face Detection (SP)
|
100% |
7735
91.9 IPS |
|
|
Face Detection (HP)
|
100% |
10679
126.9 IPS |
|
|
Face Detection (Q)
|
100% |
7621
90.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13779
106.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15108
116.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
12822
100.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32256
41.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37406
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
36657
47.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7986
294.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8339
307.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6740
248.9 IPS |
|
|
Text Classification (SP)
|
100% |
3443
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5907
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5914
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
100% |
926
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
782
13.5 IPS |
