iPhone18,2
Geekbench AI Score
5215
Single Precision Score
36244
Half Precision Score
48990
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:56 PM |
| Views | 3 |
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% |
2345
436.1 IPS |
|
|
Image Classification (HP)
|
100% |
16135
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22651
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20206
327.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25605
415.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10793
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
160093
186.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
297843
349.1 IPS |
|
|
Object Detection (SP)
|
100% |
2707
214.7 IPS |
|
|
Object Detection (HP)
|
100% |
17388
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25176
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4713
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
40329
479.2 IPS |
|
|
Face Detection (Q)
|
100% |
51597
613.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8611
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105460
812.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
162603
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
25313
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259180
333.2 IPS |
|
|
Style Transfer (Q)
|
96% |
351801
454.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5641
208.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57511
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84558
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6125
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6027
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5380
92.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11102
191.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12174
210.4 IPS |
