iPhone 15 Pro Max
Geekbench AI Score
3776
Single Precision Score
24923
Half Precision Score
35652
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 02:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1679
312.2 IPS |
|
|
Image Classification (HP)
|
100% |
10812
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15857
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1558
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16417
266.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20990
340.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7068
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
100381
117.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
202683
237.6 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.8 IPS |
|
|
Object Detection (HP)
|
100% |
13575
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18918
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3080
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
33651
399.8 IPS |
|
|
Face Detection (Q)
|
100% |
52528
624.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6610
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
77767
599.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
127059
993.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19575
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203132
261.1 IPS |
|
|
Style Transfer (Q)
|
96% |
254483
328.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4550
168.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33466
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61255
2.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3242
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3174
4.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3278
4.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3146
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6773
116.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7623
131.7 IPS |
