iPhone 15 Pro Max
Geekbench AI Score
3897
Single Precision Score
25023
Half Precision Score
35355
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 19 2025 02:38 AM |
| Views | 2 |
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% |
1660
308.7 IPS |
|
|
Image Classification (HP)
|
100% |
11663
2.17 KIPS |
|
|
Image Classification (Q)
|
97% |
15666
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16267
263.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20704
335.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7878
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
106305
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
206530
242.1 IPS |
|
|
Object Detection (SP)
|
100% |
1764
139.9 IPS |
|
|
Object Detection (HP)
|
100% |
13823
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19167
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3049
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
33592
399.1 IPS |
|
|
Face Detection (Q)
|
100% |
51840
616.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6951
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78239
602.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
128052
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21238
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
207741
267.1 IPS |
|
|
Style Transfer (Q)
|
96% |
255026
329.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4874
180.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33972
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59647
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3270
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2933
3.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3169
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6347
109.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7428
128.4 IPS |
