iPhone17,1
Geekbench AI Score
4493
Single Precision Score
7711
Half Precision Score
6164
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 09:18 PM |
| Views | 1 |
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% |
2034
378.2 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.0 IPS |
|
|
Image Classification (Q)
|
96% |
2265
423.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2928
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3383
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8728
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17934
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15227
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2083
165.2 IPS |
|
|
Object Detection (HP)
|
97% |
3777
300.7 IPS |
|
|
Object Detection (Q)
|
94% |
2659
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
3623
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
7443
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
4176
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7527
58.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14170
109.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9714
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23581
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36954
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30114
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5520
203.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6873
253.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4920
181.7 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5845
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6032
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3832
66.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7122
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7051
121.8 IPS |
