iPhone17,1
Geekbench AI Score
4547
Single Precision Score
33059
Half Precision Score
45918
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Stephen_L |
| Upload Date | November 24 2024 01:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2029
377.3 IPS |
|
|
Image Classification (HP)
|
100% |
15298
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20762
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18350
297.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24321
394.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8810
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153752
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293437
343.9 IPS |
|
|
Object Detection (SP)
|
100% |
2193
173.9 IPS |
|
|
Object Detection (HP)
|
100% |
16309
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22530
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3603
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
41319
491.0 IPS |
|
|
Face Detection (Q)
|
100% |
57398
682.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7817
60.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95514
735.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
164550
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24018
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244436
314.2 IPS |
|
|
Style Transfer (Q)
|
96% |
300417
387.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5504
203.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50403
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84747
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4644
6.20 KIPS |
|
|
Text Classification (Q)
|
93% |
4531
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3847
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9812
169.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11458
198.0 IPS |
