iPhone 15 Pro Max
Geekbench AI Score
2457
Single Precision Score
3686
Half Precision Score
3031
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Phizzle |
| Upload Date | August 20 2024 10:20 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1145
212.9 IPS |
|
|
Image Classification (HP)
|
100% |
1514
281.5 IPS |
|
|
Image Classification (Q)
|
99% |
1578
294.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
947
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
877
14.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
904
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3972
4.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
9774
11.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
8060
9.44 IPS |
|
|
Object Detection (SP)
|
100% |
1230
97.5 IPS |
|
|
Object Detection (HP)
|
97% |
1642
130.8 IPS |
|
|
Object Detection (Q)
|
94% |
1309
104.3 IPS |
|
|
Face Detection (SP)
|
100% |
2017
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
3412
40.5 IPS |
|
|
Face Detection (Q)
|
100% |
2056
24.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4121
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6543
50.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
3049
23.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11850
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19881
25.6 IPS |
|
|
Style Transfer (Q)
|
100% |
20078
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3549
131.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4177
154.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2945
109.1 IPS |
|
|
Text Classification (SP)
|
100% |
2379
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3664
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3629
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1821
31.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3203
55.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3241
56.0 IPS |
