iPhone 15 Pro Max
Geekbench AI Score
3762
Single Precision Score
19493
Half Precision Score
30385
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 08:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1582
294.1 IPS |
|
|
Image Classification (HP)
|
100% |
7817
1.45 KIPS |
|
|
Image Classification (Q)
|
97% |
10430
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1544
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16308
264.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21002
340.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6997
8.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
98907
115.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
177052
207.5 IPS |
|
|
Object Detection (SP)
|
100% |
1643
130.3 IPS |
|
|
Object Detection (HP)
|
100% |
6475
513.6 IPS |
|
|
Object Detection (Q)
|
91% |
15897
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
3059
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
29773
353.8 IPS |
|
|
Face Detection (Q)
|
100% |
41323
491.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6776
52.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
51476
396.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
89371
698.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20860
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
178505
229.5 IPS |
|
|
Style Transfer (Q)
|
96% |
205196
264.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4583
169.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16419
606.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40248
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5398
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5392
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3126
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4003
68.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6616
114.3 IPS |
