iPhone17,1
Geekbench AI Score
4570
Single Precision Score
7804
Half Precision Score
6206
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | mbuurman |
| Upload Date | September 27 2024 07:26 PM |
| Views | 8 |
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
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
3369
626.5 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1999
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2936
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3378
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8965
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18289
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15372
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2107
167.2 IPS |
|
|
Object Detection (HP)
|
97% |
3850
306.5 IPS |
|
|
Object Detection (Q)
|
94% |
2669
212.7 IPS |
|
|
Face Detection (SP)
|
100% |
3625
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
7568
89.9 IPS |
|
|
Face Detection (Q)
|
100% |
4242
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7840
60.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14327
110.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9975
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24358
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37667
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30936
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5710
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6952
256.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4962
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5980
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5814
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3849
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7091
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7117
123.0 IPS |
