iPhone17,1
Geekbench AI Score
4609
Single Precision Score
7832
Half Precision Score
6263
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 06 2024 02:46 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 | 4.02 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2022
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
3357
624.3 IPS |
|
|
Image Classification (Q)
|
96% |
2268
423.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2936
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3376
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9349
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18898
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16093
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2147
170.3 IPS |
|
|
Object Detection (HP)
|
97% |
3842
305.9 IPS |
|
|
Object Detection (Q)
|
94% |
2679
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
3625
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
7601
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4295
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8021
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14370
111.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10072
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24838
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37790
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31202
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5778
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7007
258.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4991
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5907
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5867
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3803
65.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7112
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7121
123.1 IPS |
