iPhone18,2
Geekbench AI Score
4616
Single Precision Score
35208
Half Precision Score
48486
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 03:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2118
393.9 IPS |
|
|
Image Classification (HP)
|
100% |
16126
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
23004
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2029
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19033
308.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24267
393.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8802
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
142439
166.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
265198
310.8 IPS |
|
|
Object Detection (SP)
|
100% |
2046
162.3 IPS |
|
|
Object Detection (HP)
|
100% |
17206
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
23192
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
4037
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
40321
479.1 IPS |
|
|
Face Detection (Q)
|
100% |
52836
627.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7897
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
102145
787.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
171193
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21781
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244534
314.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350913
452.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5189
191.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56979
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86728
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3439
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
6016
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6430
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4587
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11271
194.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11816
204.2 IPS |
