iPhone 15 Pro Max
Geekbench AI Score
3946
Single Precision Score
23764
Half Precision Score
32364
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mvodya |
| Upload Date | February 03 2025 08:09 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1679
312.2 IPS |
|
|
Image Classification (HP)
|
100% |
11678
2.17 KIPS |
|
|
Image Classification (Q)
|
97% |
14640
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1602
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15648
253.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20850
338.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8093
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
106228
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
204226
239.4 IPS |
|
|
Object Detection (SP)
|
100% |
1819
144.3 IPS |
|
|
Object Detection (HP)
|
100% |
13864
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18798
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3160
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
33420
397.1 IPS |
|
|
Face Detection (Q)
|
100% |
49653
590.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7106
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78085
601.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
128065
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21220
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203204
261.2 IPS |
|
|
Style Transfer (Q)
|
96% |
247892
319.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4910
181.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33526
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58062
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1885
2.52 KIPS |
|
|
Text Classification (Q)
|
93% |
1650
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6371
109.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7125
123.1 IPS |
