iPhone 15 Pro Max
Geekbench AI Score
3795
Single Precision Score
26537
Half Precision Score
36180
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DizzyFop |
| Upload Date | September 17 2025 04:24 AM |
| Views | 5 |
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% |
1573
292.5 IPS |
|
|
Image Classification (HP)
|
100% |
10630
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
14690
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16341
264.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21215
343.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7380
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
107029
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
205334
240.7 IPS |
|
|
Object Detection (SP)
|
100% |
1666
132.2 IPS |
|
|
Object Detection (HP)
|
100% |
13876
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
17995
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3069
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
33897
402.8 IPS |
|
|
Face Detection (Q)
|
100% |
45250
537.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6929
53.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78361
603.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
123319
964.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20683
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
208026
267.4 IPS |
|
|
Style Transfer (Q)
|
96% |
247470
319.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4692
173.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34234
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
63370
2.34 KIPS |
|
|
Text Classification (SP)
|
100% |
3214
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5613
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5437
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6325
108.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7016
121.2 IPS |
