iPhone18,1
Geekbench AI Score
4969
Single Precision Score
36202
Half Precision Score
49154
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 06:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2341
435.4 IPS |
|
|
Image Classification (HP)
|
100% |
16572
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
22715
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2049
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19781
320.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24766
401.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9385
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
152700
178.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
282952
331.6 IPS |
|
|
Object Detection (SP)
|
100% |
2577
204.4 IPS |
|
|
Object Detection (HP)
|
100% |
17760
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25896
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4472
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
40470
480.9 IPS |
|
|
Face Detection (Q)
|
100% |
53476
635.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8389
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
103433
796.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
162540
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24246
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
258781
332.7 IPS |
|
|
Style Transfer (Q)
|
96% |
346971
447.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5304
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57265
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85209
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3521
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6404
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6401
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4666
80.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10951
188.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12144
209.9 IPS |
