iPhone17,2
Geekbench AI Score
4409
Single Precision Score
32219
Half Precision Score
44237
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | AbarthJoe |
| Upload Date | September 21 2024 05:42 PM |
| Views | 5 |
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 | 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% |
1981
368.4 IPS |
|
|
Image Classification (HP)
|
100% |
15250
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
19556
3.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1923
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14660
237.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18399
298.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8349
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
152403
177.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
291941
342.2 IPS |
|
|
Object Detection (SP)
|
100% |
2079
164.9 IPS |
|
|
Object Detection (HP)
|
100% |
16223
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22726
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3406
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
41036
487.6 IPS |
|
|
Face Detection (Q)
|
100% |
54914
652.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7558
58.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95080
732.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
162349
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23006
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
246500
316.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301039
388.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5521
203.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51050
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84554
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4701
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4665
6.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3749
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9448
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11356
196.3 IPS |
