iPhone17,2
Geekbench AI Score
4385
Single Precision Score
31923
Half Precision Score
44086
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | notakaos |
| Upload Date | September 20 2024 06:41 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.97 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1979
368.0 IPS |
|
|
Image Classification (HP)
|
100% |
15336
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20374
3.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14703
238.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18309
296.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8293
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
150111
175.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
291624
341.8 IPS |
|
|
Object Detection (SP)
|
100% |
2072
164.3 IPS |
|
|
Object Detection (HP)
|
100% |
16154
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22516
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3499
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
40970
486.8 IPS |
|
|
Face Detection (Q)
|
100% |
55012
653.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7505
57.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94822
730.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160761
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22739
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245772
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301820
389.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5344
197.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50457
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84954
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4388
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4355
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3731
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9511
163.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11468
198.2 IPS |
