iPhone17,3
Geekbench AI Score
4273
Single Precision Score
32433
Half Precision Score
44908
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:16 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,3 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| 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 | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1898
353.0 IPS |
|
|
Image Classification (HP)
|
100% |
15216
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20433
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14639
237.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18160
294.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8297
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
153289
178.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293366
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2050
162.6 IPS |
|
|
Object Detection (HP)
|
100% |
16349
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22668
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3228
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
40665
483.2 IPS |
|
|
Face Detection (Q)
|
100% |
53569
636.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7522
58.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95421
735.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
162384
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22432
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
246339
316.7 IPS |
|
|
Style Transfer (Q)
|
96% |
304301
392.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5335
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51081
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86158
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4959
6.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5011
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3532
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9529
164.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11832
204.5 IPS |
