iPhone 17e iPhone18,5
Geekbench AI Score
4468
Single Precision Score
7553
Half Precision Score
5914
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 20 2026 03:58 PM |
| Views | 8 |
| Notes | iPhone 17e/8GB RAM/512GB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPhone18,5 |
| Model ID | iPhone18,5 |
| Motherboard | V159AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2182
405.8 IPS |
|
|
Image Classification (HP)
|
100% |
3548
659.7 IPS |
|
|
Image Classification (Q)
|
96% |
2376
443.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2864
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3235
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8536
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
16616
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14064
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2272
180.3 IPS |
|
|
Object Detection (HP)
|
97% |
3833
305.1 IPS |
|
|
Object Detection (Q)
|
94% |
2557
203.8 IPS |
|
|
Face Detection (SP)
|
100% |
3534
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
6963
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
3702
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7640
58.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
12919
99.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8957
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20260
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35584
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28868
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5007
184.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6672
246.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4672
172.5 IPS |
|
|
Text Classification (SP)
|
100% |
3414
4.56 KIPS |
|
|
Text Classification (HP)
|
99% |
6449
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6361
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4263
73.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6784
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6657
115.0 IPS |
