iPhone 15 Pro Max
Geekbench AI Score
3707
Single Precision Score
6710
Half Precision Score
5460
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | June 26 2025 04:54 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1594
296.5 IPS |
|
|
Image Classification (HP)
|
100% |
2905
540.2 IPS |
|
|
Image Classification (Q)
|
96% |
2040
380.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1543
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2969
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6914
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
15199
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13112
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1695
134.4 IPS |
|
|
Object Detection (HP)
|
97% |
3195
254.3 IPS |
|
|
Object Detection (Q)
|
94% |
2286
182.2 IPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
6516
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
3616
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6490
50.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12473
96.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8570
67.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19871
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32185
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25712
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4484
165.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5781
213.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4304
158.9 IPS |
|
|
Text Classification (SP)
|
100% |
3127
4.17 KIPS |
|
|
Text Classification (HP)
|
99% |
5301
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5305
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3187
54.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7050
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7135
123.3 IPS |
