iPhone17,2
Geekbench AI Score
5676
Single Precision Score
6607
Half Precision Score
6094
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | notakaos |
| Upload Date | September 20 2024 06:39 PM |
| Views | 19 |
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 | 3.97 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2747
510.8 IPS |
|
|
Image Classification (HP)
|
100% |
2606
484.6 IPS |
|
|
Image Classification (Q)
|
97% |
2620
488.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3310
53.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4409
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4332
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15737
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16506
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15274
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
3229
256.1 IPS |
|
|
Object Detection (HP)
|
100% |
3499
277.5 IPS |
|
|
Object Detection (Q)
|
91% |
2864
228.8 IPS |
|
|
Face Detection (SP)
|
100% |
7461
88.7 IPS |
|
|
Face Detection (HP)
|
100% |
10579
125.7 IPS |
|
|
Face Detection (Q)
|
100% |
7272
86.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13367
103.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14423
111.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
11488
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32926
42.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37707
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
35417
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8005
295.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8465
312.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6763
249.7 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5809
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5817
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1224
21.2 IPS |
