iPhone17,1
Geekbench AI Score
4467
Single Precision Score
7654
Half Precision Score
6092
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | sfoskett |
| Upload Date | September 21 2024 02:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2023
376.2 IPS |
|
|
Image Classification (HP)
|
100% |
3358
624.4 IPS |
|
|
Image Classification (Q)
|
96% |
2263
422.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2896
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3325
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8534
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
17671
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15130
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2104
166.9 IPS |
|
|
Object Detection (HP)
|
97% |
3729
296.8 IPS |
|
|
Object Detection (Q)
|
94% |
2636
210.1 IPS |
|
|
Face Detection (SP)
|
100% |
3609
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
7436
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
4107
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7476
57.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13912
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9503
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23306
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36189
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30026
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5466
201.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6836
252.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4870
179.8 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5983
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5840
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3807
65.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7038
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7041
121.7 IPS |
