iPhone 15 Pro Max
Geekbench AI Score
3701
Single Precision Score
26530
Half Precision Score
37220
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 23 2025 10:43 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% |
1541
286.5 IPS |
|
|
Image Classification (HP)
|
100% |
11109
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
15865
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1544
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16305
264.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21247
344.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7035
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
99481
116.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
187864
220.2 IPS |
|
|
Object Detection (SP)
|
100% |
1662
131.8 IPS |
|
|
Object Detection (HP)
|
100% |
13852
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18332
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
2955
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
34381
408.5 IPS |
|
|
Face Detection (Q)
|
100% |
52888
628.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6373
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
77446
596.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
129932
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
19466
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
198299
254.9 IPS |
|
|
Style Transfer (Q)
|
96% |
247608
319.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4490
165.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34460
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
61836
2.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
5981
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5714
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3130
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6360
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7312
126.4 IPS |
