iPhone17,3
Geekbench AI Score
4232
Single Precision Score
32468
Half Precision Score
44985
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ery |
| Upload Date | October 09 2024 11:55 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPhone17,3 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1919
356.9 IPS |
|
|
Image Classification (HP)
|
100% |
15243
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20516
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14592
236.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18152
294.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8156
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
153425
179.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
292388
342.7 IPS |
|
|
Object Detection (SP)
|
100% |
2030
161.0 IPS |
|
|
Object Detection (HP)
|
100% |
16904
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
23055
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3209
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
41572
494.0 IPS |
|
|
Face Detection (Q)
|
100% |
56714
673.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7261
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
95266
734.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
161426
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21563
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244626
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303067
391.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5258
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49711
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83747
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3508
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4681
6.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5021
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10012
172.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11588
200.3 IPS |
