iPhone17,3
Geekbench AI Score
4217
Single Precision Score
7292
Half Precision Score
5843
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 07 2024 07:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1943
361.3 IPS |
|
|
Image Classification (HP)
|
100% |
3213
597.6 IPS |
|
|
Image Classification (Q)
|
96% |
2182
407.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2807
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3232
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8266
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
17050
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14417
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2003
158.9 IPS |
|
|
Object Detection (HP)
|
97% |
3695
294.2 IPS |
|
|
Object Detection (Q)
|
94% |
2579
205.6 IPS |
|
|
Face Detection (SP)
|
100% |
3229
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6906
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
3931
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7167
55.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13443
103.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9343
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22086
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35446
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29069
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5100
188.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6511
240.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4733
174.7 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5955
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5959
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3482
60.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5865
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5881
101.6 IPS |
