iPhone17,2
Geekbench AI Score
4643
Single Precision Score
33270
Half Precision Score
46076
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 07:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1998
371.5 IPS |
|
|
Image Classification (HP)
|
100% |
15231
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20284
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18273
296.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24126
391.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9470
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
155097
181.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
294320
345.0 IPS |
|
|
Object Detection (SP)
|
100% |
2180
172.9 IPS |
|
|
Object Detection (HP)
|
100% |
16235
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22576
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3687
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
41413
492.1 IPS |
|
|
Face Detection (Q)
|
100% |
57096
678.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8118
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95268
734.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160888
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
25045
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
246542
316.9 IPS |
|
|
Style Transfer (Q)
|
96% |
306214
395.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5882
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52390
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85111
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3472
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4800
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4878
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3786
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9696
167.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11357
196.3 IPS |
