iPhone17,2
Geekbench AI Score
4646
Single Precision Score
32678
Half Precision Score
45798
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 11:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1991
370.3 IPS |
|
|
Image Classification (HP)
|
100% |
15269
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
20284
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18171
294.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23962
388.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9755
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
154884
180.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
294476
345.1 IPS |
|
|
Object Detection (SP)
|
100% |
2171
172.2 IPS |
|
|
Object Detection (HP)
|
100% |
16026
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
22011
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
3658
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
41799
496.7 IPS |
|
|
Face Detection (Q)
|
100% |
57405
682.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8188
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95625
736.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
160050
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
25051
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245598
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
302901
390.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5973
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51377
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87716
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4287
5.72 KIPS |
|
|
Text Classification (Q)
|
93% |
4849
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9326
160.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10888
188.2 IPS |
