iPhone17,2
Geekbench AI Score
4571
Single Precision Score
33025
Half Precision Score
46288
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 03:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
15142
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20303
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18124
293.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24160
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8995
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154235
180.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
293621
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
2169
172.0 IPS |
|
|
Object Detection (HP)
|
100% |
16288
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22602
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3628
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
41216
489.7 IPS |
|
|
Face Detection (Q)
|
100% |
58447
694.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7888
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95420
735.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160912
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24190
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245892
316.1 IPS |
|
|
Style Transfer (Q)
|
96% |
302096
389.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5779
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50630
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85492
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3441
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4709
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4992
6.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3784
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9711
167.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11441
197.7 IPS |
