iPhone17,2
Geekbench AI Score
4017
Single Precision Score
7163
Half Precision Score
5716
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 10:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1850
344.1 IPS |
|
|
Image Classification (HP)
|
100% |
3304
614.4 IPS |
|
|
Image Classification (Q)
|
96% |
2216
413.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1682
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2810
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3203
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7853
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
16208
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13745
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1918
152.2 IPS |
|
|
Object Detection (HP)
|
97% |
3513
279.7 IPS |
|
|
Object Detection (Q)
|
94% |
2491
198.5 IPS |
|
|
Face Detection (SP)
|
100% |
2963
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
6421
76.3 IPS |
|
|
Face Detection (Q)
|
100% |
3703
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6865
52.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
12927
99.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8991
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21013
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34127
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28102
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6637
245.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4698
173.5 IPS |
|
|
Text Classification (SP)
|
100% |
3470
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
6036
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5983
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3248
55.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5932
102.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5827
100.7 IPS |
