iPhone 15 Pro Max
Geekbench AI Score
4020
Single Precision Score
24983
Half Precision Score
34955
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | MrCipher |
| Upload Date | July 18 2025 08:11 AM |
| Views | 6 |
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% |
1681
312.7 IPS |
|
|
Image Classification (HP)
|
100% |
11009
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
15326
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16281
263.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21477
348.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8519
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
106057
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
204666
239.9 IPS |
|
|
Object Detection (SP)
|
100% |
1800
142.8 IPS |
|
|
Object Detection (HP)
|
100% |
13921
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19035
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3155
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
33687
400.3 IPS |
|
|
Face Detection (Q)
|
100% |
51438
611.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7127
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78442
604.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
127209
994.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22316
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
206731
265.8 IPS |
|
|
Style Transfer (Q)
|
96% |
247644
319.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5051
186.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34439
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55840
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3332
4.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2758
3.68 KIPS |
|
|
Text Classification (Q)
|
93% |
3074
4.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3180
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6900
118.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7637
132.0 IPS |
