iPhone 15 Pro Max
Geekbench AI Score
3799
Single Precision Score
6884
Half Precision Score
5658
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Vicedriver |
| Upload Date | January 04 2026 05:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 15 Pro Max |
| Model ID | iPhone16,2 |
| Motherboard | D84AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1540
286.3 IPS |
|
|
Image Classification (HP)
|
100% |
2962
550.8 IPS |
|
|
Image Classification (Q)
|
96% |
2042
381.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2362
38.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3027
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7875
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
16824
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14560
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
1658
131.6 IPS |
|
|
Object Detection (HP)
|
97% |
3259
259.5 IPS |
|
|
Object Detection (Q)
|
94% |
2348
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
3024
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6743
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3825
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6815
52.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12649
97.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8942
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21138
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33639
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27964
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4722
174.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5612
207.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4378
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5398
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5333
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3105
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7169
123.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7134
123.3 IPS |
