iPhone 15 Pro Max
Geekbench AI Score
4185
Single Precision Score
4646
Half Precision Score
4238
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | OXO |
| Upload Date | September 03 2024 03:23 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1980
368.3 IPS |
|
|
Image Classification (HP)
|
100% |
1753
326.1 IPS |
|
|
Image Classification (Q)
|
99% |
2017
376.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3016
48.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3860
62.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3864
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14994
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16010
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14621
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
2741
217.4 IPS |
|
|
Object Detection (Q)
|
92% |
2238
178.6 IPS |
|
|
Face Detection (SP)
|
100% |
6724
79.9 IPS |
|
|
Face Detection (HP)
|
100% |
8654
102.8 IPS |
|
|
Face Detection (Q)
|
100% |
6061
72.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11875
91.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13062
100.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
13305
102.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29510
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34821
44.8 IPS |
|
|
Style Transfer (Q)
|
100% |
35362
45.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6202
229.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6596
243.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5293
196.1 IPS |
|
|
Text Classification (SP)
|
100% |
468
624.4 IPS |
|
|
Text Classification (HP)
|
100% |
503
671.5 IPS |
|
|
Text Classification (Q)
|
93% |
305
410.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1105
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1593
27.5 IPS |
