iPhone17,1
Geekbench AI Score
4394
Single Precision Score
32527
Half Precision Score
45190
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | L1_Wall |
| Upload Date | September 20 2024 05:36 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2017
375.1 IPS |
|
|
Image Classification (HP)
|
100% |
15228
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20192
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14676
237.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18315
296.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8813
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153116
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
292240
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
1978
156.9 IPS |
|
|
Object Detection (HP)
|
100% |
16777
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
23380
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
3432
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
41798
496.7 IPS |
|
|
Face Detection (Q)
|
100% |
58068
690.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7174
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95181
733.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
161152
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22991
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244634
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303668
391.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5357
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50900
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87819
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3468
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4868
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4924
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3714
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9577
165.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11439
197.7 IPS |
