iPhone17,1
Geekbench AI Score
4307
Single Precision Score
32425
Half Precision Score
43792
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | jayt |
| Upload Date | September 29 2024 12:40 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
15193
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20461
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18368
297.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24273
393.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8095
9.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
148002
172.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
290961
341.0 IPS |
|
|
Object Detection (SP)
|
100% |
2075
164.6 IPS |
|
|
Object Detection (HP)
|
100% |
16422
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
23100
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
3388
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
41567
493.9 IPS |
|
|
Face Detection (Q)
|
100% |
58978
700.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6902
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95103
732.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
162716
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
21899
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245284
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
304158
392.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5184
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50465
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85859
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3445
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4085
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
2730
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3693
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9476
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11358
196.3 IPS |
