iPhone 15 Pro Max
Geekbench AI Score
4936
Single Precision Score
5867
Half Precision Score
5264
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 05:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2177
404.9 IPS |
|
|
Image Classification (HP)
|
100% |
2406
447.5 IPS |
|
|
Image Classification (Q)
|
97% |
2059
384.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2808
45.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3713
60.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3727
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13010
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13648
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12884
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
2415
191.5 IPS |
|
|
Object Detection (HP)
|
100% |
2714
215.3 IPS |
|
|
Object Detection (Q)
|
91% |
2317
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
6231
74.0 IPS |
|
|
Face Detection (HP)
|
100% |
8320
98.9 IPS |
|
|
Face Detection (Q)
|
100% |
5964
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10723
82.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11638
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10198
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26719
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31621
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29704
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5870
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6125
226.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4846
178.9 IPS |
|
|
Text Classification (SP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5512
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5478
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1338
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1415
24.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1489
25.7 IPS |
