iPhone 17 Pro Max
Geekbench AI Score
5168
Single Precision Score
36025
Half Precision Score
48699
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | February 13 2026 03:34 AM |
| Views | 5 |
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% |
2379
442.5 IPS |
|
|
Image Classification (HP)
|
100% |
16041
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
21603
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20028
324.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25159
407.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10898
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
160078
186.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
298624
350.0 IPS |
|
|
Object Detection (SP)
|
100% |
2628
208.4 IPS |
|
|
Object Detection (HP)
|
100% |
17445
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25237
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4682
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
41192
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
54803
651.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8443
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104520
805.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
164725
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24651
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
260234
334.5 IPS |
|
|
Style Transfer (Q)
|
96% |
349891
451.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5619
207.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56048
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85306
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3303
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6020
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5676
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5112
88.1 IPS |
|
|
Machine Translation (HP)
|
100% |
10856
187.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11977
207.0 IPS |
