iPhone 15 Pro Max
Geekbench AI Score
4937
Single Precision Score
5866
Half Precision Score
5275
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 01:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2034
378.3 IPS |
|
|
Image Classification (HP)
|
100% |
1833
340.8 IPS |
|
|
Image Classification (Q)
|
97% |
1799
335.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3009
48.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3969
64.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3950
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13712
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15842
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14925
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2508
199.0 IPS |
|
|
Object Detection (HP)
|
100% |
2984
236.7 IPS |
|
|
Object Detection (Q)
|
91% |
2495
199.3 IPS |
|
|
Face Detection (SP)
|
100% |
6379
75.8 IPS |
|
|
Face Detection (HP)
|
100% |
8942
106.2 IPS |
|
|
Face Detection (Q)
|
100% |
6283
74.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11736
90.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12710
97.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10908
85.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29310
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35370
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33594
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6389
235.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6794
250.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5382
198.7 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5565
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5542
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
918
15.9 IPS |
