iPhone18,2
Geekbench AI Score
4969
Single Precision Score
36398
Half Precision Score
49895
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 01:09 AM |
| Views | 1 |
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% |
2332
433.7 IPS |
|
|
Image Classification (HP)
|
100% |
16394
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
22760
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20199
327.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24292
393.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9420
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
149089
174.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
283562
332.4 IPS |
|
|
Object Detection (SP)
|
100% |
2540
201.4 IPS |
|
|
Object Detection (HP)
|
100% |
17801
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25653
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4360
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
40726
483.9 IPS |
|
|
Face Detection (Q)
|
100% |
56282
668.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8260
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
103474
797.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
171122
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
23500
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
257333
330.8 IPS |
|
|
Style Transfer (Q)
|
96% |
350141
451.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5006
184.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
59057
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87439
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3588
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6490
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6467
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5137
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11175
192.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12469
215.5 IPS |
