iPhone 15 Pro Max
Geekbench AI Score
3888
Single Precision Score
23941
Half Precision Score
33199
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 02:05 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1687
313.7 IPS |
|
|
Image Classification (HP)
|
100% |
10580
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
15587
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15843
256.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20864
338.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7844
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
105287
122.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
204013
239.1 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
14003
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
19465
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
34229
406.7 IPS |
|
|
Face Detection (Q)
|
100% |
50642
601.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6857
52.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
78610
605.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
129005
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20624
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
204758
263.2 IPS |
|
|
Style Transfer (Q)
|
96% |
250204
322.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4833
178.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33713
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58413
2.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2207
2.95 KIPS |
|
|
Text Classification (Q)
|
93% |
1779
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3090
53.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6108
105.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7415
128.1 IPS |
