iPhone 15 Pro Max
Geekbench AI Score
3793
Single Precision Score
24800
Half Precision Score
35196
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 16 2025 10:57 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% |
1602
297.8 IPS |
|
|
Image Classification (HP)
|
100% |
10825
2.01 KIPS |
|
|
Image Classification (Q)
|
97% |
15110
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1559
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16625
269.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21134
342.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7412
8.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
102984
120.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
205346
240.7 IPS |
|
|
Object Detection (SP)
|
100% |
1728
137.0 IPS |
|
|
Object Detection (HP)
|
100% |
13940
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
18910
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
33661
400.0 IPS |
|
|
Face Detection (Q)
|
100% |
52971
629.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6660
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78474
604.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
126463
988.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19961
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
204175
262.5 IPS |
|
|
Style Transfer (Q)
|
96% |
253008
326.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4567
168.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34028
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57514
2.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3281
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
2842
3.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3274
4.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3169
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6533
112.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7372
127.4 IPS |
