iPhone 15 Pro Max
Geekbench AI Score
3806
Single Precision Score
26273
Half Precision Score
35949
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 04:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1553
288.9 IPS |
|
|
Image Classification (HP)
|
100% |
10508
1.95 KIPS |
|
|
Image Classification (Q)
|
97% |
14206
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1561
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16573
268.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21264
344.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7582
8.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
107194
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
204951
240.2 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
100% |
13309
1.06 KIPS |
|
|
Object Detection (Q)
|
91% |
17062
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
34673
412.0 IPS |
|
|
Face Detection (Q)
|
100% |
51034
606.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6654
51.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78222
602.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
122222
955.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21006
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
206066
264.9 IPS |
|
|
Style Transfer (Q)
|
96% |
248965
321.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4681
172.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34390
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60185
2.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5420
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5507
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3166
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6055
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6631
114.6 IPS |
