iPhone17,5
Geekbench AI Score
4262
Single Precision Score
7100
Half Precision Score
5655
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 02:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2039
379.2 IPS |
|
|
Image Classification (HP)
|
100% |
3260
606.3 IPS |
|
|
Image Classification (Q)
|
96% |
2223
415.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1727
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2731
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3113
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8250
9.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
15800
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13287
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
2200
174.5 IPS |
|
|
Object Detection (HP)
|
97% |
3550
282.6 IPS |
|
|
Object Detection (Q)
|
94% |
2499
199.2 IPS |
|
|
Face Detection (SP)
|
100% |
3380
40.2 IPS |
|
|
Face Detection (HP)
|
100% |
6478
77.0 IPS |
|
|
Face Detection (Q)
|
100% |
3656
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7239
55.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
12617
97.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8758
68.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19011
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33317
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
26977
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4838
178.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6807
251.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4691
173.2 IPS |
|
|
Text Classification (SP)
|
100% |
3676
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6258
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6240
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3746
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5626
97.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5757
99.5 IPS |
