iPhone17,5
Geekbench AI Score
4255
Single Precision Score
33281
Half Precision Score
46069
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | April 23 2025 04:36 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2022
376.1 IPS |
|
|
Image Classification (HP)
|
100% |
15528
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
20531
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1797
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18159
294.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23829
386.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8297
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
147033
171.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
293685
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
2255
178.9 IPS |
|
|
Object Detection (HP)
|
100% |
16393
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22585
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3439
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
40767
484.4 IPS |
|
|
Face Detection (Q)
|
100% |
56293
668.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7638
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
96688
744.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159890
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
17341
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
244829
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
303752
392.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4972
183.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50088
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83698
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4832
6.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4964
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3739
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10503
180.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11684
201.9 IPS |
