iPhone 17 Pro Max
Geekbench AI Score
5038
Single Precision Score
36435
Half Precision Score
49166
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Jolo |
| Upload Date | February 14 2026 07:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2316
430.6 IPS |
|
|
Image Classification (HP)
|
100% |
16654
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
21803
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19985
324.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25258
409.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9836
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
154052
179.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
286859
336.2 IPS |
|
|
Object Detection (SP)
|
100% |
2569
203.7 IPS |
|
|
Object Detection (HP)
|
100% |
18069
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25541
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4467
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
41107
488.4 IPS |
|
|
Face Detection (Q)
|
100% |
51244
608.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8258
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104863
807.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
168477
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
23975
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
258422
332.2 IPS |
|
|
Style Transfer (Q)
|
96% |
351057
453.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5270
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55098
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86207
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3540
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6565
8.76 KIPS |
|
|
Text Classification (Q)
|
93% |
6411
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5237
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11047
190.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12214
211.1 IPS |
