iPhone17,5
Geekbench AI Score
4069
Single Precision Score
4486
Half Precision Score
4250
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 22 2025 12:01 AM |
| Views | 6 |
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% |
891
165.6 IPS |
|
|
Image Classification (HP)
|
100% |
800
148.8 IPS |
|
|
Image Classification (Q)
|
96% |
818
152.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3079
49.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3385
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3129
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10655
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11848
13.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11533
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1940
153.9 IPS |
|
|
Object Detection (HP)
|
100% |
1907
151.3 IPS |
|
|
Object Detection (Q)
|
92% |
1946
155.4 IPS |
|
|
Face Detection (SP)
|
100% |
6339
75.3 IPS |
|
|
Face Detection (HP)
|
100% |
7368
87.5 IPS |
|
|
Face Detection (Q)
|
100% |
5957
70.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9777
75.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10570
81.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9314
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23592
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26250
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
25627
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4532
167.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4237
156.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3754
138.6 IPS |
|
|
Text Classification (SP)
|
100% |
3669
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6191
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6129
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1025
17.7 IPS |
