iPhone 15 Pro Max
Geekbench AI Score
3784
Single Precision Score
25110
Half Precision Score
35050
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 16 2025 10:56 PM |
| Views | 1 |
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% |
1600
297.5 IPS |
|
|
Image Classification (HP)
|
100% |
10826
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15360
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1559
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16362
265.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21432
347.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7283
8.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
102158
119.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
204597
239.8 IPS |
|
|
Object Detection (SP)
|
100% |
1712
135.8 IPS |
|
|
Object Detection (HP)
|
100% |
13914
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18965
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
36898
438.4 IPS |
|
|
Face Detection (Q)
|
100% |
53021
630.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6716
51.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78177
602.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
126886
992.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20133
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
200066
257.2 IPS |
|
|
Style Transfer (Q)
|
96% |
248480
320.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4575
168.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34267
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54798
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
3088
4.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3240
4.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3159
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6483
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7381
127.6 IPS |
