iPhone 15 Pro Max
Geekbench AI Score
3706
Single Precision Score
24418
Half Precision Score
34160
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | franky2000 |
| Upload Date | September 20 2024 05:26 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1593
296.2 IPS |
|
|
Image Classification (HP)
|
100% |
11661
2.17 KIPS |
|
|
Image Classification (Q)
|
97% |
15986
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1548
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
12836
208.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
15922
258.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6791
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
100143
116.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
202232
237.0 IPS |
|
|
Object Detection (SP)
|
100% |
1688
133.9 IPS |
|
|
Object Detection (HP)
|
100% |
13789
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19236
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
33649
399.8 IPS |
|
|
Face Detection (Q)
|
100% |
49086
583.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6754
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
79124
609.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
128511
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
19344
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
200228
257.4 IPS |
|
|
Style Transfer (Q)
|
96% |
251967
325.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4457
164.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34832
1.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56327
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3167
4.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3207
4.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3068
52.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6201
106.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7612
131.5 IPS |
