iPhone 15 Pro Max
Geekbench AI Score
3684
Single Precision Score
5423
Half Precision Score
4538
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | incoherent |
| Upload Date | August 16 2024 03:16 AM |
| 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% |
1732
322.1 IPS |
|
|
Image Classification (HP)
|
100% |
2195
408.3 IPS |
|
|
Image Classification (Q)
|
99% |
2195
409.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1420
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1336
21.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1342
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7617
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
15957
18.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
13572
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1709
135.5 IPS |
|
|
Object Detection (HP)
|
97% |
2484
197.8 IPS |
|
|
Object Detection (Q)
|
94% |
1970
157.0 IPS |
|
|
Face Detection (SP)
|
100% |
2857
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
4894
58.1 IPS |
|
|
Face Detection (Q)
|
100% |
3129
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6234
48.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9514
73.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4927
38.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19893
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30283
38.9 IPS |
|
|
Style Transfer (Q)
|
100% |
30243
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4615
170.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5775
213.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4355
161.3 IPS |
|
|
Text Classification (SP)
|
100% |
3167
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
5195
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5224
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2781
47.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4474
77.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4440
76.7 IPS |
