iPhone 17 Pro 1TB iPhone18,1
Geekbench AI Score
5103
Single Precision Score
36023
Half Precision Score
49392
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Appler |
| Upload Date | September 29 2025 12:50 AM |
| Views | 7 |
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% |
2363
439.5 IPS |
|
|
Image Classification (HP)
|
100% |
16083
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
23174
4.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19971
323.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25128
407.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9850
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
150347
175.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
278960
327.0 IPS |
|
|
Object Detection (SP)
|
100% |
2562
203.2 IPS |
|
|
Object Detection (HP)
|
100% |
17513
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24906
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4499
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
40200
477.7 IPS |
|
|
Face Detection (Q)
|
100% |
52799
627.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8505
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104616
806.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160527
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24204
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
254701
327.4 IPS |
|
|
Style Transfer (Q)
|
96% |
351459
453.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5536
204.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56372
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89152
3.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3528
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6510
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6467
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5298
91.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11069
190.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12437
214.9 IPS |
