iPhone18,2
Geekbench AI Score
4925
Single Precision Score
36490
Half Precision Score
49605
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DFW |
| Upload Date | September 20 2025 01:21 AM |
| Views | 3 |
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% |
2298
427.3 IPS |
|
|
Image Classification (HP)
|
100% |
16907
3.14 KIPS |
|
|
Image Classification (Q)
|
97% |
23017
4.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2174
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20081
325.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24289
393.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9498
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
146238
170.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
275715
323.2 IPS |
|
|
Object Detection (SP)
|
100% |
2484
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
17895
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25416
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4312
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
41104
488.4 IPS |
|
|
Face Detection (Q)
|
100% |
52889
628.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8278
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
103255
795.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
171712
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
23237
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
257254
330.7 IPS |
|
|
Style Transfer (Q)
|
96% |
348732
450.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5258
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58373
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87759
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3566
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6633
8.85 KIPS |
|
|
Text Classification (Q)
|
93% |
6643
8.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4585
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11146
192.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12472
215.5 IPS |
