iPhone18,1
Geekbench AI Score
5001
Single Precision Score
36319
Half Precision Score
49820
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 10:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2303
428.3 IPS |
|
|
Image Classification (HP)
|
100% |
16690
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
22506
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2084
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19649
318.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24454
396.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9867
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
151029
176.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
281213
329.6 IPS |
|
|
Object Detection (SP)
|
100% |
2505
198.7 IPS |
|
|
Object Detection (HP)
|
100% |
18053
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26252
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4303
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
41287
490.6 IPS |
|
|
Face Detection (Q)
|
100% |
58321
693.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8261
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104283
803.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
166135
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24035
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
257136
330.6 IPS |
|
|
Style Transfer (Q)
|
96% |
349919
451.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5300
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55664
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85240
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3569
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6422
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6414
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5108
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11285
194.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12509
216.2 IPS |
