iPhone17,5
Geekbench AI Score
4372
Single Precision Score
33063
Half Precision Score
43917
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 04 2025 01:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1948
362.2 IPS |
|
|
Image Classification (HP)
|
100% |
15210
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
19344
3.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18152
294.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23809
386.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8804
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
154473
180.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
295163
345.9 IPS |
|
|
Object Detection (SP)
|
100% |
2136
169.4 IPS |
|
|
Object Detection (HP)
|
100% |
16676
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
22616
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3324
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
40469
480.9 IPS |
|
|
Face Detection (Q)
|
100% |
53395
634.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7756
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95636
736.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
161986
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23165
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245691
315.8 IPS |
|
|
Style Transfer (Q)
|
96% |
304604
393.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5349
197.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51228
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84814
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4378
5.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3362
4.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3575
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10295
177.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11556
199.7 IPS |
