iPhone 15 Pro Max
Geekbench AI Score
3864
Single Precision Score
25540
Half Precision Score
35747
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 08:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
1608
299.1 IPS |
|
|
Image Classification (HP)
|
100% |
11345
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
15411
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1556
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
16133
261.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21109
342.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7807
9.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
105934
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
203461
238.5 IPS |
|
|
Object Detection (SP)
|
100% |
1766
140.1 IPS |
|
|
Object Detection (HP)
|
100% |
13999
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
18767
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3051
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
36081
428.7 IPS |
|
|
Face Detection (Q)
|
100% |
52935
629.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6920
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78158
602.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
128401
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20874
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
206263
265.2 IPS |
|
|
Style Transfer (Q)
|
96% |
257009
331.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4842
178.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34383
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61797
2.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3263
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
3361
4.49 KIPS |
|
|
Text Classification (Q)
|
93% |
3421
4.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3092
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6474
111.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7429
128.4 IPS |
