iPhone17,2
Geekbench AI Score
4485
Single Precision Score
32387
Half Precision Score
44890
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 02:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1994
370.8 IPS |
|
|
Image Classification (HP)
|
100% |
15556
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
20774
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1941
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14688
238.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18274
296.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8649
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153756
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292022
342.3 IPS |
|
|
Object Detection (SP)
|
100% |
2112
167.5 IPS |
|
|
Object Detection (HP)
|
100% |
16190
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22504
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3555
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
41222
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
55662
661.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7713
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95278
734.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161490
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23709
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
246612
317.0 IPS |
|
|
Style Transfer (Q)
|
96% |
304071
392.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5540
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49988
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87037
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3439
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4784
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4892
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3768
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9639
166.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11446
197.8 IPS |
