iPhone17,2
Geekbench AI Score
4575
Single Precision Score
32895
Half Precision Score
45947
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | muzzy099 |
| Upload Date | December 02 2024 11:25 AM |
| Views | 7 |
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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1997
371.4 IPS |
|
|
Image Classification (HP)
|
100% |
14983
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
20221
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18263
296.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23991
388.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9003
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154143
179.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293571
344.1 IPS |
|
|
Object Detection (SP)
|
100% |
2168
172.0 IPS |
|
|
Object Detection (HP)
|
100% |
16662
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22228
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
3642
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
41203
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
57681
685.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7937
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95991
739.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
159492
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24353
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245236
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
300281
387.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5808
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49969
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84551
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4592
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4993
6.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3802
65.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9485
163.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11359
196.3 IPS |
