iPhone 15 Pro Max
Geekbench AI Score
3855
Single Precision Score
24632
Half Precision Score
34629
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 07 2025 05:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1692
314.6 IPS |
|
|
Image Classification (HP)
|
100% |
11180
2.08 KIPS |
|
|
Image Classification (Q)
|
97% |
15102
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15585
252.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20771
336.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7609
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
105212
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
203754
238.8 IPS |
|
|
Object Detection (SP)
|
100% |
1729
137.2 IPS |
|
|
Object Detection (HP)
|
100% |
13597
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18815
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
33721
400.7 IPS |
|
|
Face Detection (Q)
|
100% |
50598
601.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6881
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78646
605.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
127901
1000.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19941
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
203382
261.5 IPS |
|
|
Style Transfer (Q)
|
96% |
250663
323.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4709
173.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33783
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
63355
2.34 KIPS |
|
|
Text Classification (SP)
|
100% |
3260
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2940
3.92 KIPS |
|
|
Text Classification (Q)
|
93% |
2605
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3106
53.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6159
106.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7704
133.1 IPS |
