iPhone17,1
Geekbench AI Score
4468
Single Precision Score
7678
Half Precision Score
6103
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 09:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2035
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
3367
626.2 IPS |
|
|
Image Classification (Q)
|
96% |
2270
423.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2890
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3382
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8470
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
17514
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14693
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2115
167.8 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.1 IPS |
|
|
Object Detection (Q)
|
94% |
2659
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
3581
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
7482
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
4130
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7483
57.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13774
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9452
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23043
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36724
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29806
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5431
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6859
253.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4910
181.3 IPS |
|
|
Text Classification (SP)
|
100% |
3438
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5984
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5870
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3873
66.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7073
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7133
123.3 IPS |
