iPhone17,3
Geekbench AI Score
4314
Single Precision Score
7409
Half Precision Score
5937
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 07 2024 07:04 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% |
1935
359.8 IPS |
|
|
Image Classification (HP)
|
100% |
3221
598.9 IPS |
|
|
Image Classification (Q)
|
96% |
2200
410.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2838
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3214
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8494
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
17441
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14991
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2065
163.8 IPS |
|
|
Object Detection (HP)
|
97% |
3696
294.3 IPS |
|
|
Object Detection (Q)
|
94% |
2610
208.0 IPS |
|
|
Face Detection (SP)
|
100% |
3287
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
6950
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
4005
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7520
57.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13824
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9591
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22983
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37118
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30012
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5334
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6732
248.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4834
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5931
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5979
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3500
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5943
102.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5909
102.1 IPS |
