iPhone 17 Pro Max
Geekbench AI Score
5050
Single Precision Score
36127
Half Precision Score
49225
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 11:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2311
429.7 IPS |
|
|
Image Classification (HP)
|
100% |
16582
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
22103
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20294
329.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26400
428.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9860
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153536
179.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
287038
336.4 IPS |
|
|
Object Detection (SP)
|
100% |
2578
204.5 IPS |
|
|
Object Detection (HP)
|
100% |
17288
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25412
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4482
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
40947
486.5 IPS |
|
|
Face Detection (Q)
|
100% |
52920
628.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8353
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104774
807.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
164077
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
23825
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
253839
326.3 IPS |
|
|
Style Transfer (Q)
|
96% |
352706
455.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5315
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54880
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84456
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3528
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6358
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6328
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5275
90.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11159
192.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11992
207.2 IPS |
