iPhone 17 Pro Max
Geekbench AI Score
5238
Single Precision Score
36593
Half Precision Score
48454
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Bearco |
| Upload Date | January 29 2026 08:16 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2373
441.3 IPS |
|
|
Image Classification (HP)
|
100% |
16191
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22020
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20320
329.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24978
404.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10705
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
160699
187.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
297970
349.2 IPS |
|
|
Object Detection (SP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (HP)
|
100% |
17519
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24822
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4683
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
40885
485.8 IPS |
|
|
Face Detection (Q)
|
100% |
49986
593.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8695
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
107037
824.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
161647
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
25478
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
259819
334.0 IPS |
|
|
Style Transfer (Q)
|
96% |
351789
454.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5675
209.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56832
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85923
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
6595
8.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5932
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5253
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10907
187.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12104
209.2 IPS |
