iPhone18,2
Geekbench AI Score
5159
Single Precision Score
36094
Half Precision Score
49019
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 06:42 AM |
| Views | 1 |
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% |
2347
436.4 IPS |
|
|
Image Classification (HP)
|
100% |
16108
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22335
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19980
323.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25914
420.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10086
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
156185
182.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
285393
334.5 IPS |
|
|
Object Detection (SP)
|
100% |
2675
212.2 IPS |
|
|
Object Detection (HP)
|
100% |
17375
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25276
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4567
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
40678
483.3 IPS |
|
|
Face Detection (Q)
|
100% |
48793
579.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8523
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104359
804.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
162404
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24858
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
258410
332.2 IPS |
|
|
Style Transfer (Q)
|
96% |
351381
453.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5657
208.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56862
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85241
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3528
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6172
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6428
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5236
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11162
192.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12576
217.3 IPS |
