iPhone17,1
Geekbench AI Score
4342
Single Precision Score
5163
Half Precision Score
4646
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 07:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1164
216.5 IPS |
|
|
Image Classification (HP)
|
100% |
2142
398.4 IPS |
|
|
Image Classification (Q)
|
97% |
1030
192.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2863
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4028
65.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4106
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14321
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15897
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15190
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2021
160.3 IPS |
|
|
Object Detection (HP)
|
100% |
1600
126.9 IPS |
|
|
Object Detection (Q)
|
91% |
1971
157.5 IPS |
|
|
Face Detection (SP)
|
100% |
6989
83.0 IPS |
|
|
Face Detection (HP)
|
100% |
9727
115.6 IPS |
|
|
Face Detection (Q)
|
100% |
7166
85.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12397
95.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14751
113.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12218
95.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30127
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36261
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
34233
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4844
178.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3554
131.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3660
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
3478
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5962
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
6002
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
562
9.68 IPS |
|
|
Machine Translation (HP)
|
100% |
557
9.59 IPS |
|
|
Machine Translation (Q)
|
98% |
563
9.72 IPS |
