iPhone 15 Pro Max
Geekbench AI Score
3899
Single Precision Score
24933
Half Precision Score
34906
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 08 2025 09:25 PM |
| Views | 5 |
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% |
1672
311.0 IPS |
|
|
Image Classification (HP)
|
100% |
10743
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
14707
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16321
264.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21385
346.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7807
9.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
109297
127.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
205030
240.3 IPS |
|
|
Object Detection (SP)
|
100% |
1754
139.1 IPS |
|
|
Object Detection (HP)
|
100% |
13926
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18963
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3081
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
33712
400.6 IPS |
|
|
Face Detection (Q)
|
100% |
52855
628.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6893
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78219
602.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
125496
981.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20947
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204651
263.1 IPS |
|
|
Style Transfer (Q)
|
96% |
251183
324.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4800
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34666
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54232
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2854
3.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3243
4.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3111
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6517
112.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7495
129.5 IPS |
