iPhone17,5
Geekbench AI Score
4105
Single Precision Score
4412
Half Precision Score
4261
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | May 13 2025 08:03 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| 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 | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
839
156.0 IPS |
|
|
Image Classification (HP)
|
100% |
813
151.1 IPS |
|
|
Image Classification (Q)
|
96% |
869
162.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3248
52.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3358
54.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3209
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11033
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11326
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11252
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2138
169.6 IPS |
|
|
Object Detection (HP)
|
100% |
1963
155.7 IPS |
|
|
Object Detection (Q)
|
92% |
1801
143.8 IPS |
|
|
Face Detection (SP)
|
100% |
6316
75.1 IPS |
|
|
Face Detection (HP)
|
100% |
7302
86.8 IPS |
|
|
Face Detection (Q)
|
100% |
5967
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10117
77.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10213
78.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9701
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24443
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25669
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
25207
32.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4307
159.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3845
142.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3722
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
3374
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5904
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
6055
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
933
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1062
18.4 IPS |
