iPhone 17 Pro Max
Geekbench AI Score
5259
Single Precision Score
8434
Half Precision Score
6693
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Anonymous1234567890 |
| Upload Date | March 29 2026 02:15 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
2361
439.0 IPS |
|
|
Image Classification (HP)
|
100% |
2693
500.8 IPS |
|
|
Image Classification (Q)
|
94% |
1958
365.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3532
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8615
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16525
19.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
14159
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2633
208.8 IPS |
|
|
Object Detection (HP)
|
98% |
4235
337.0 IPS |
|
|
Object Detection (Q)
|
88% |
2650
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
4790
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
9814
116.6 IPS |
|
|
Face Detection (Q)
|
100% |
4662
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7738
59.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11396
88.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8053
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21622
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40811
52.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32216
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5033
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9358
345.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5982
220.9 IPS |
|
|
Text Classification (SP)
|
100% |
6660
8.89 KIPS |
|
|
Text Classification (HP)
|
99% |
11077
14.8 KIPS |
|
|
Text Classification (Q)
|
93% |
11088
14.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
5269
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8688
149.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8672
149.9 IPS |
