iPhone17,3
Geekbench AI Score
4123
Single Precision Score
32906
Half Precision Score
46016
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 04:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1923
357.6 IPS |
|
|
Image Classification (HP)
|
100% |
15589
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
21571
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1767
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18154
294.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23729
384.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7563
8.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
142744
166.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
288128
337.7 IPS |
|
|
Object Detection (SP)
|
100% |
1984
157.3 IPS |
|
|
Object Detection (HP)
|
100% |
16428
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22653
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3133
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
41800
496.7 IPS |
|
|
Face Detection (Q)
|
100% |
55970
665.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6930
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95474
735.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
160104
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21211
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244519
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302650
390.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5015
185.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49742
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83664
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4876
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4912
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3522
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9479
163.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11434
197.6 IPS |
