iPhone 15 Pro Max
Geekbench AI Score
3907
Single Precision Score
26076
Half Precision Score
35801
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cesarjmoreno |
| Upload Date | June 08 2025 11:01 PM |
| Views | 5 |
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% |
1705
317.2 IPS |
|
|
Image Classification (HP)
|
100% |
11548
2.15 KIPS |
|
|
Image Classification (Q)
|
97% |
15525
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16687
270.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21318
345.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7667
8.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
105677
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
204673
239.9 IPS |
|
|
Object Detection (SP)
|
100% |
1788
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
13885
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
19037
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
37064
440.4 IPS |
|
|
Face Detection (Q)
|
100% |
52783
627.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6915
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
78216
602.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
127810
999.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21125
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
208433
267.9 IPS |
|
|
Style Transfer (Q)
|
96% |
259156
334.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4826
178.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34698
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55208
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3245
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3755
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3658
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3163
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6531
112.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7599
131.3 IPS |
