iPhone 17 Pro Max iPhone18,2
Geekbench AI Score
5079
Single Precision Score
8314
Half Precision Score
6510
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tricky |
| Upload Date | October 09 2025 10:34 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2345
436.0 IPS |
|
|
Image Classification (HP)
|
100% |
3756
698.6 IPS |
|
|
Image Classification (Q)
|
96% |
2500
466.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3024
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3450
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10046
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17958
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14986
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2522
200.0 IPS |
|
|
Object Detection (HP)
|
97% |
4179
332.7 IPS |
|
|
Object Detection (Q)
|
94% |
2778
221.4 IPS |
|
|
Face Detection (SP)
|
100% |
4454
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
8245
98.0 IPS |
|
|
Face Detection (Q)
|
100% |
4242
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8416
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14003
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9767
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24095
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37635
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30764
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5556
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6958
256.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5005
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6468
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6453
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5196
89.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9475
163.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9259
160.0 IPS |
