iPhone17,3
Geekbench AI Score
4273
Single Precision Score
32911
Half Precision Score
45245
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 12:50 PM |
| Views | 1 |
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% |
1878
349.2 IPS |
|
|
Image Classification (HP)
|
100% |
15602
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
20415
3.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14592
236.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
18164
294.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8346
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
154999
180.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
293082
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2091
165.9 IPS |
|
|
Object Detection (HP)
|
100% |
16397
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22665
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3269
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
40746
484.2 IPS |
|
|
Face Detection (Q)
|
100% |
54370
646.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7590
58.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95554
736.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
164941
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
22041
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
246851
317.3 IPS |
|
|
Style Transfer (Q)
|
96% |
304224
392.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5249
193.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52653
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86589
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3444
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4935
6.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5221
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3553
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10318
177.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11834
204.5 IPS |
