iPhone17,3
Geekbench AI Score
4282
Single Precision Score
7404
Half Precision Score
5917
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 08:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1927
358.4 IPS |
|
|
Image Classification (HP)
|
100% |
3223
599.4 IPS |
|
|
Image Classification (Q)
|
96% |
2208
412.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3267
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8350
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
17804
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15067
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2034
161.3 IPS |
|
|
Object Detection (HP)
|
97% |
3709
295.3 IPS |
|
|
Object Detection (Q)
|
94% |
2586
206.1 IPS |
|
|
Face Detection (SP)
|
100% |
3274
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
6854
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3995
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7355
56.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13971
108.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9548
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22808
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36760
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29819
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5255
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6648
245.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4719
174.3 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5931
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5907
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5870
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5906
102.1 IPS |
