iPhone17,2
Geekbench AI Score
4538
Single Precision Score
32797
Half Precision Score
45560
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 04:10 PM |
| 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% |
2012
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
15312
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
19610
3.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18169
294.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23818
386.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9050
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153798
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
293036
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2146
170.2 IPS |
|
|
Object Detection (HP)
|
100% |
16202
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22501
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3608
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
41741
496.0 IPS |
|
|
Face Detection (Q)
|
100% |
56320
669.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7835
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94830
730.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
161534
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24116
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244771
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
302652
390.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5549
204.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49564
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83610
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4585
6.12 KIPS |
|
|
Text Classification (Q)
|
93% |
4803
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3757
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9436
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11317
195.6 IPS |
