iPhone17,4
Geekbench AI Score
4038
Single Precision Score
4366
Half Precision Score
4269
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 04:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,4 |
| Model ID | iPhone17,4 |
| Motherboard | D48AP |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
747
139.0 IPS |
|
|
Image Classification (HP)
|
100% |
856
159.2 IPS |
|
|
Image Classification (Q)
|
97% |
917
171.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2887
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3501
56.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3669
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13600
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
14003
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13303
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2283
181.1 IPS |
|
|
Object Detection (HP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (Q)
|
91% |
1982
158.4 IPS |
|
|
Face Detection (SP)
|
100% |
7146
84.9 IPS |
|
|
Face Detection (HP)
|
100% |
9245
109.8 IPS |
|
|
Face Detection (Q)
|
100% |
6201
73.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11329
87.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12008
92.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10167
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29723
38.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32833
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30903
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4211
155.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3836
141.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4207
155.4 IPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5877
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5841
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
495
8.52 IPS |
|
|
Machine Translation (HP)
|
100% |
503
8.66 IPS |
|
|
Machine Translation (Q)
|
98% |
474
8.19 IPS |
