iPhone 15 Pro Max
Geekbench AI Score
3711
Single Precision Score
26406
Half Precision Score
36283
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | OXO |
| Upload Date | September 25 2025 04:20 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1583
294.3 IPS |
|
|
Image Classification (HP)
|
100% |
11054
2.06 KIPS |
|
|
Image Classification (Q)
|
97% |
15201
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1539
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16464
266.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21075
341.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6888
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
102944
120.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
202505
237.3 IPS |
|
|
Object Detection (SP)
|
100% |
1646
130.6 IPS |
|
|
Object Detection (HP)
|
100% |
13463
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
17384
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3042
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
33714
400.6 IPS |
|
|
Face Detection (Q)
|
100% |
51549
612.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6618
51.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78541
605.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
123276
963.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19831
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
205223
263.8 IPS |
|
|
Style Transfer (Q)
|
96% |
248508
320.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4429
163.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34358
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57501
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3169
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5557
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5764
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3201
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6300
108.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6699
115.8 IPS |
