iPhone17,2
Geekbench AI Score
4578
Single Precision Score
32922
Half Precision Score
45904
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 09:51 PM |
| Views | 2 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2011
374.0 IPS |
|
|
Image Classification (HP)
|
100% |
15175
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20153
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1941
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18282
296.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24127
391.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9062
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
154981
180.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
294227
344.9 IPS |
|
|
Object Detection (SP)
|
100% |
2164
171.6 IPS |
|
|
Object Detection (HP)
|
100% |
16444
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
23386
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
3632
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
41777
496.4 IPS |
|
|
Face Detection (Q)
|
100% |
59459
706.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7894
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95349
734.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
161757
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24530
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245633
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303136
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5767
213.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50772
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84750
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4370
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4415
5.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3797
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9747
167.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11384
196.7 IPS |
