iPhone17,2
Geekbench AI Score
4442
Single Precision Score
32332
Half Precision Score
44602
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | jimeh |
| Upload Date | September 20 2024 11:40 PM |
| Views | 5 |
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% |
1988
369.6 IPS |
|
|
Image Classification (HP)
|
100% |
15809
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
21059
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1911
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14657
237.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18280
296.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8550
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
154345
180.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
291585
341.8 IPS |
|
|
Object Detection (SP)
|
100% |
2107
167.2 IPS |
|
|
Object Detection (HP)
|
100% |
16241
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22951
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3538
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
41165
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
56120
666.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7646
58.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95540
736.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161715
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22925
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
247252
317.8 IPS |
|
|
Style Transfer (Q)
|
96% |
305903
394.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5505
203.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50558
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85007
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4366
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4480
6.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3747
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10013
172.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11439
197.7 IPS |
