iPhone 15 Pro Max
Geekbench AI Score
3825
Single Precision Score
26697
Half Precision Score
36283
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | krdrever |
| Upload Date | September 28 2025 12:31 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1564
290.8 IPS |
|
|
Image Classification (HP)
|
100% |
11210
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
15871
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1559
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16437
266.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21073
341.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7673
8.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
106753
124.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
206407
241.9 IPS |
|
|
Object Detection (SP)
|
100% |
1671
132.5 IPS |
|
|
Object Detection (HP)
|
100% |
13544
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
18196
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3085
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
34151
405.8 IPS |
|
|
Face Detection (Q)
|
100% |
46156
548.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6921
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
77979
600.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
126782
991.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21050
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
205763
264.5 IPS |
|
|
Style Transfer (Q)
|
96% |
250966
323.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4717
174.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36271
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57714
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5431
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5427
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6398
110.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6845
118.3 IPS |
