iPhone17,5
Geekbench AI Score
4186
Single Precision Score
7238
Half Precision Score
5729
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 01 2025 01:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2029
377.3 IPS |
|
|
Image Classification (HP)
|
100% |
3240
602.6 IPS |
|
|
Image Classification (Q)
|
96% |
2190
409.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1798
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2762
44.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3202
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8110
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
16399
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13936
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2155
170.9 IPS |
|
|
Object Detection (HP)
|
97% |
3625
288.6 IPS |
|
|
Object Detection (Q)
|
94% |
2515
200.5 IPS |
|
|
Face Detection (SP)
|
100% |
3418
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
6644
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
3744
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7211
55.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13179
101.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8941
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17065
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34349
44.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27587
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4699
173.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7094
262.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4805
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5915
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5929
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3882
66.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5878
101.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5897
101.9 IPS |
