iPhone17,2
Geekbench AI Score
5758
Single Precision Score
6759
Half Precision Score
5906
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 02:10 AM |
| Views | 1 |
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% |
3033
564.0 IPS |
|
|
Image Classification (HP)
|
100% |
2923
543.7 IPS |
|
|
Image Classification (Q)
|
97% |
2857
533.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3394
55.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4403
71.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4361
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15652
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16505
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15556
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3172
251.6 IPS |
|
|
Object Detection (HP)
|
100% |
3463
274.7 IPS |
|
|
Object Detection (Q)
|
91% |
2846
227.4 IPS |
|
|
Face Detection (SP)
|
100% |
7761
92.2 IPS |
|
|
Face Detection (HP)
|
100% |
10623
126.2 IPS |
|
|
Face Detection (Q)
|
100% |
7107
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13401
103.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14422
111.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12020
94.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32771
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37677
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
35464
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7990
295.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8468
312.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6766
249.8 IPS |
|
|
Text Classification (SP)
|
100% |
3436
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5838
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5805
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
788
13.6 IPS |
