iPhone 15 Pro Max
Geekbench AI Score
3968
Single Precision Score
24632
Half Precision Score
34703
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | rafaexnexus |
| Upload Date | October 29 2024 12:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1723
320.4 IPS |
|
|
Image Classification (HP)
|
100% |
10729
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15450
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15521
251.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20817
337.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8172
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
106302
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
204524
239.7 IPS |
|
|
Object Detection (SP)
|
100% |
1805
143.2 IPS |
|
|
Object Detection (HP)
|
100% |
13788
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18809
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3147
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
34182
406.2 IPS |
|
|
Face Detection (Q)
|
100% |
50599
601.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7108
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78596
605.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
130260
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
21233
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201228
258.7 IPS |
|
|
Style Transfer (Q)
|
96% |
244624
315.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4990
184.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34176
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57141
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3118
4.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3101
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6152
106.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7129
123.2 IPS |
