iPhone18,2
Geekbench AI Score
4795
Single Precision Score
35399
Half Precision Score
48596
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 10:29 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% |
2312
429.9 IPS |
|
|
Image Classification (HP)
|
100% |
16295
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
21940
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1955
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19412
314.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24824
402.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9218
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
141864
165.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
265994
311.8 IPS |
|
|
Object Detection (SP)
|
100% |
2465
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
17499
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25224
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4083
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
40271
478.5 IPS |
|
|
Face Detection (Q)
|
100% |
52324
621.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7980
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99637
767.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
160700
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
22829
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
243802
313.4 IPS |
|
|
Style Transfer (Q)
|
96% |
352387
454.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5192
191.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56941
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85700
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3499
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6416
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6372
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4634
79.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11011
189.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12425
214.7 IPS |
