iPhone 17 Pro Max
Geekbench AI Score
5284
Single Precision Score
38543
Half Precision Score
52943
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | cyberhomie |
| Upload Date | March 25 2026 04:01 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPhone 17 Pro Max |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| 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% |
2360
438.9 IPS |
|
|
Image Classification (HP)
|
100% |
16380
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
22726
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20118
326.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25076
406.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8115
9.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
154780
180.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
286834
336.2 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
17927
1.42 KIPS |
|
|
Object Detection (Q)
|
89% |
26033
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4669
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
42181
501.2 IPS |
|
|
Face Detection (Q)
|
100% |
60686
721.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8075
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104826
807.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
178933
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
21930
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
259721
333.9 IPS |
|
|
Style Transfer (Q)
|
96% |
326285
421.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5143
189.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55415
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85820
3.17 KIPS |
|
|
Text Classification (SP)
|
99% |
6649
8.87 KIPS |
|
|
Text Classification (HP)
|
100% |
10945
14.6 KIPS |
|
|
Text Classification (Q)
|
92% |
10827
14.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
5314
91.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11361
195.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12351
213.4 IPS |
