iPhone17,1
Geekbench AI Score
4596
Single Precision Score
7847
Half Precision Score
6260
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | huebs |
| Upload Date | October 31 2024 08:00 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1985
369.1 IPS |
|
|
Image Classification (HP)
|
100% |
3382
628.9 IPS |
|
|
Image Classification (Q)
|
96% |
2267
423.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3026
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3383
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8926
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18592
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15651
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2148
170.4 IPS |
|
|
Object Detection (HP)
|
97% |
3824
304.5 IPS |
|
|
Object Detection (Q)
|
94% |
2694
214.8 IPS |
|
|
Face Detection (SP)
|
100% |
3642
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
7551
89.7 IPS |
|
|
Face Detection (Q)
|
100% |
4295
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7991
61.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14288
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10064
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24765
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37977
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31248
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5929
218.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6975
257.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5003
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
3451
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5925
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5918
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3825
65.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7185
124.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7148
123.5 IPS |
