iPhone18,2
Geekbench AI Score
5051
Single Precision Score
36169
Half Precision Score
48931
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 08:08 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% |
2319
431.3 IPS |
|
|
Image Classification (HP)
|
100% |
16016
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
22298
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20189
327.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24577
398.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9735
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
152858
178.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
285573
334.7 IPS |
|
|
Object Detection (SP)
|
100% |
2549
202.2 IPS |
|
|
Object Detection (HP)
|
100% |
17850
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25224
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4454
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
41126
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
50117
595.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8329
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104865
807.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
171344
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24061
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
258890
332.8 IPS |
|
|
Style Transfer (Q)
|
96% |
351901
454.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5361
198.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55671
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84407
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3489
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6448
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6414
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5296
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10837
186.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12184
210.5 IPS |
