iPhone 15 Pro Max
Geekbench AI Score
3898
Single Precision Score
24250
Half Precision Score
33650
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | maf654321 |
| Upload Date | April 28 2025 02:56 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1678
312.1 IPS |
|
|
Image Classification (HP)
|
100% |
11306
2.10 KIPS |
|
|
Image Classification (Q)
|
97% |
15362
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1568
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16569
268.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21311
345.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7825
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
106008
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
205915
241.3 IPS |
|
|
Object Detection (SP)
|
100% |
1781
141.2 IPS |
|
|
Object Detection (HP)
|
100% |
13896
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19460
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
33322
395.9 IPS |
|
|
Face Detection (Q)
|
100% |
52997
629.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6884
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78031
601.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
127762
998.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21037
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
206435
265.4 IPS |
|
|
Style Transfer (Q)
|
96% |
255392
329.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4836
178.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35464
1.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56645
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3248
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2055
2.74 KIPS |
|
|
Text Classification (Q)
|
93% |
1962
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3180
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6516
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7384
127.6 IPS |
