iPhone18,2
Geekbench AI Score
4727
Single Precision Score
34920
Half Precision Score
48746
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 10:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2283
424.5 IPS |
|
|
Image Classification (HP)
|
100% |
16784
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
22655
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18836
305.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24119
391.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8773
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
120770
140.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
252932
296.5 IPS |
|
|
Object Detection (SP)
|
100% |
2314
183.5 IPS |
|
|
Object Detection (HP)
|
100% |
18574
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25743
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3961
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
40356
479.5 IPS |
|
|
Face Detection (Q)
|
100% |
55496
659.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7554
58.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
102989
793.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
170272
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
22524
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
247432
318.1 IPS |
|
|
Style Transfer (Q)
|
96% |
336371
434.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4974
183.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55129
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85442
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3573
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6768
9.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6275
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4907
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9910
170.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12496
215.9 IPS |
