iPhone 17 Pro Max
Geekbench AI Score
5055
Single Precision Score
36275
Half Precision Score
49552
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | GeorgieMcPorgie |
| Upload Date | January 14 2026 09:08 PM |
| Views | 3 |
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% |
2349
436.8 IPS |
|
|
Image Classification (HP)
|
100% |
16176
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22101
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2106
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19833
321.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25710
416.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9455
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
148223
173.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
285179
334.2 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
18005
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25901
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4424
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
40751
484.2 IPS |
|
|
Face Detection (Q)
|
100% |
54226
644.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8375
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104640
806.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
163875
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24169
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
259172
333.2 IPS |
|
|
Style Transfer (Q)
|
96% |
351556
453.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5533
204.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57323
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84936
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3603
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
6456
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6670
8.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5252
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11267
194.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12016
207.6 IPS |
