iPhone 15 Pro Max
Geekbench AI Score
3904
Single Precision Score
25153
Half Precision Score
33746
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 11:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1682
312.7 IPS |
|
|
Image Classification (HP)
|
100% |
11708
2.18 KIPS |
|
|
Image Classification (Q)
|
97% |
15423
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1591
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16715
271.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21514
348.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7922
9.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
105284
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
205225
240.5 IPS |
|
|
Object Detection (SP)
|
100% |
1758
139.5 IPS |
|
|
Object Detection (HP)
|
100% |
13940
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19359
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
33650
399.8 IPS |
|
|
Face Detection (Q)
|
100% |
52766
627.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6911
53.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
78452
604.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
127272
995.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20206
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202447
260.2 IPS |
|
|
Style Transfer (Q)
|
96% |
257912
332.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4826
178.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34576
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54796
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3271
4.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2054
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3196
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6455
111.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7454
128.8 IPS |
