iPhone17,5
Geekbench AI Score
4138
Single Precision Score
4556
Half Precision Score
4311
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 08:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 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% |
930
173.0 IPS |
|
|
Image Classification (HP)
|
100% |
845
157.2 IPS |
|
|
Image Classification (Q)
|
96% |
813
151.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3208
52.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3386
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3251
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10667
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11888
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11572
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1978
156.9 IPS |
|
|
Object Detection (HP)
|
100% |
1889
149.9 IPS |
|
|
Object Detection (Q)
|
92% |
1968
157.1 IPS |
|
|
Face Detection (SP)
|
100% |
6218
73.9 IPS |
|
|
Face Detection (HP)
|
100% |
7208
85.6 IPS |
|
|
Face Detection (Q)
|
100% |
6042
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9827
75.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10703
82.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9769
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24006
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26279
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26066
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4664
172.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4403
162.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3640
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
3696
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6284
8.39 KIPS |
|
|
Text Classification (Q)
|
93% |
6206
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
926
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1071
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1060
18.3 IPS |
