iPhone 15 Pro Max
Geekbench AI Score
3846
Single Precision Score
25030
Half Precision Score
35202
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 16 2025 10:59 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% |
1603
298.1 IPS |
|
|
Image Classification (HP)
|
100% |
11002
2.05 KIPS |
|
|
Image Classification (Q)
|
97% |
15086
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16535
268.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21371
346.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7651
8.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
105409
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
204516
239.7 IPS |
|
|
Object Detection (SP)
|
100% |
1763
139.9 IPS |
|
|
Object Detection (HP)
|
100% |
13865
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19153
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3063
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
33702
400.5 IPS |
|
|
Face Detection (Q)
|
100% |
53240
632.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6816
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78474
604.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
127182
994.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20529
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
202712
260.6 IPS |
|
|
Style Transfer (Q)
|
96% |
255902
330.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4643
171.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35898
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55826
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3270
4.36 KIPS |
|
|
Text Classification (HP)
|
100% |
2872
3.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3227
4.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3175
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6570
113.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7414
128.1 IPS |
