iPhone 15 Pro Max
Geekbench AI Score
3555
Single Precision Score
25151
Half Precision Score
35282
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 12 2025 08:50 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1564
290.8 IPS |
|
|
Image Classification (HP)
|
100% |
11118
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
15103
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1536
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16311
264.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20787
337.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7046
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
102062
119.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
199980
234.4 IPS |
|
|
Object Detection (SP)
|
100% |
1654
131.2 IPS |
|
|
Object Detection (HP)
|
100% |
13879
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19044
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
2612
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
33631
399.6 IPS |
|
|
Face Detection (Q)
|
100% |
52010
618.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6339
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
77702
598.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
125394
980.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17808
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
193354
248.6 IPS |
|
|
Style Transfer (Q)
|
96% |
248363
320.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4189
154.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33083
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60550
2.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3633
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3445
4.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2935
50.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6494
111.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7400
127.9 IPS |
