iPhone17,5
Geekbench AI Score
3342
Single Precision Score
26729
Half Precision Score
36306
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 09:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.14 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1659
308.6 IPS |
|
|
Image Classification (HP)
|
100% |
12967
2.41 KIPS |
|
|
Image Classification (Q)
|
97% |
16876
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13834
224.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18944
307.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7182
8.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
108698
126.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
186000
218.0 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
100% |
13898
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18057
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2028
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
28201
335.1 IPS |
|
|
Face Detection (Q)
|
100% |
42003
499.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6711
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
77129
594.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
128627
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
16401
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
174696
224.6 IPS |
|
|
Style Transfer (Q)
|
96% |
216751
279.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4451
164.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42516
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
67704
2.50 KIPS |
|
|
Text Classification (SP)
|
100% |
2807
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4818
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4777
6.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1990
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8827
152.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9785
169.1 IPS |
