iPhone17,1
Geekbench AI Score
4281
Single Precision Score
4449
Half Precision Score
4142
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | vacantsouls |
| Upload Date | September 30 2024 11:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
948
176.2 IPS |
|
|
Image Classification (HP)
|
100% |
900
167.4 IPS |
|
|
Image Classification (Q)
|
97% |
937
174.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3515
57.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4092
66.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4156
67.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15582
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
11352
13.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11694
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1812
143.8 IPS |
|
|
Object Detection (HP)
|
100% |
1520
120.6 IPS |
|
|
Object Detection (Q)
|
91% |
1421
113.6 IPS |
|
|
Face Detection (SP)
|
100% |
6540
77.7 IPS |
|
|
Face Detection (HP)
|
100% |
7498
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
7356
87.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13649
105.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14409
111.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9841
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29928
38.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28959
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27479
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4228
156.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4308
159.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3828
141.4 IPS |
|
|
Text Classification (SP)
|
100% |
3493
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
6049
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5970
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
558
9.61 IPS |
|
|
Machine Translation (HP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (Q)
|
98% |
506
8.74 IPS |
