iPhone18,2
Geekbench AI Score
7880
Single Precision Score
15586
Half Precision Score
14621
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 01:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.16 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3922
729.3 IPS |
|
|
Image Classification (HP)
|
100% |
7462
1.39 KIPS |
|
|
Image Classification (Q)
|
97% |
7425
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5791
93.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8352
135.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9357
151.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19270
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
51135
59.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
55703
65.3 IPS |
|
|
Object Detection (SP)
|
100% |
4108
325.9 IPS |
|
|
Object Detection (HP)
|
100% |
7582
601.4 IPS |
|
|
Object Detection (Q)
|
93% |
7539
601.4 IPS |
|
|
Face Detection (SP)
|
100% |
10815
128.5 IPS |
|
|
Face Detection (HP)
|
100% |
22073
262.3 IPS |
|
|
Face Detection (Q)
|
100% |
16649
197.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17001
131.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33227
256.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
33939
265.0 IPS |
|
|
Style Transfer (SP)
|
100% |
40177
51.6 IPS |
|
|
Style Transfer (HP)
|
100% |
92068
118.4 IPS |
|
|
Style Transfer (Q)
|
96% |
115770
149.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10261
378.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19499
720.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22095
815.9 IPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6491
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6387
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1925
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4098
70.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1658
28.7 IPS |
