iPhone18,1
Geekbench AI Score
4819
Single Precision Score
35843
Half Precision Score
49397
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Risto3 |
| Upload Date | September 20 2025 12:03 AM |
| Views | 6 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2353
437.5 IPS |
|
|
Image Classification (HP)
|
100% |
16692
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
22027
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19954
323.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24314
394.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9609
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
139380
162.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
269585
316.0 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
18154
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25027
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
3729
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
40202
477.7 IPS |
|
|
Face Detection (Q)
|
100% |
59279
704.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7926
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
102580
790.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
170349
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
22878
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
254700
327.4 IPS |
|
|
Style Transfer (Q)
|
96% |
347322
448.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5236
193.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54797
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84557
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3513
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6450
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6507
8.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4547
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11189
192.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12407
214.4 IPS |
