iPhone 17 Pro * iPhone18,1
Geekbench AI Score
5095
Single Precision Score
36650
Half Precision Score
49650
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dr904 |
| Upload Date | October 07 2025 12:21 AM |
| Views | 6 |
| Notes | * App is not optimized for iPhone 17 Pro. |
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% |
2336
434.4 IPS |
|
|
Image Classification (HP)
|
100% |
16149
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22384
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20337
329.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25847
419.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10274
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
157481
183.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
288828
338.5 IPS |
|
|
Object Detection (SP)
|
100% |
2616
207.5 IPS |
|
|
Object Detection (HP)
|
100% |
17919
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25226
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4555
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
40853
485.4 IPS |
|
|
Face Detection (Q)
|
100% |
55342
657.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8370
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105198
810.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
163660
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24525
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
257816
331.4 IPS |
|
|
Style Transfer (Q)
|
96% |
351433
453.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5410
199.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
59698
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84792
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3544
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6413
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6387
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4992
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11125
191.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12530
216.5 IPS |
