iPhone17,5
Geekbench AI Score
4251
Single Precision Score
32813
Half Precision Score
45959
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 30 2025 11:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1963
365.1 IPS |
|
|
Image Classification (HP)
|
100% |
15181
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20486
3.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18175
294.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23830
386.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8026
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
150102
175.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
294214
344.8 IPS |
|
|
Object Detection (SP)
|
100% |
2056
163.1 IPS |
|
|
Object Detection (HP)
|
100% |
16113
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22400
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
40812
484.9 IPS |
|
|
Face Detection (Q)
|
100% |
56279
668.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7295
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95018
732.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161879
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
21860
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245279
315.3 IPS |
|
|
Style Transfer (Q)
|
96% |
303125
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5182
191.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50397
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83011
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4764
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4917
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3569
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9496
163.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11595
200.4 IPS |
