iPhone18,2
Geekbench AI Score
5141
Single Precision Score
35934
Half Precision Score
49068
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 07:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2375
441.7 IPS |
|
|
Image Classification (HP)
|
100% |
16039
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
22154
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20004
324.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25541
414.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10660
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
158883
185.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
294612
345.3 IPS |
|
|
Object Detection (SP)
|
100% |
2637
209.2 IPS |
|
|
Object Detection (HP)
|
100% |
17283
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25480
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4672
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
40422
480.3 IPS |
|
|
Face Detection (Q)
|
100% |
54330
645.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8451
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104605
805.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
161558
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24765
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
260384
334.7 IPS |
|
|
Style Transfer (Q)
|
96% |
350095
451.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5397
199.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57617
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85751
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5766
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5874
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5274
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11142
191.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12308
212.7 IPS |
