iPhone 15 Pro Max
Geekbench AI Score
3932
Single Precision Score
23695
Half Precision Score
33607
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | November 12 2024 05:12 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1702
316.5 IPS |
|
|
Image Classification (HP)
|
100% |
10551
1.96 KIPS |
|
|
Image Classification (Q)
|
97% |
15446
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15591
252.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20862
338.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7988
9.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
105477
123.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
203740
238.8 IPS |
|
|
Object Detection (SP)
|
100% |
1778
141.1 IPS |
|
|
Object Detection (HP)
|
100% |
13863
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18715
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
33940
403.3 IPS |
|
|
Face Detection (Q)
|
100% |
50987
605.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7017
54.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
77933
600.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
128424
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20859
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
202152
259.9 IPS |
|
|
Style Transfer (Q)
|
96% |
247483
319.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4923
181.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33515
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57578
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2073
2.77 KIPS |
|
|
Text Classification (Q)
|
93% |
2061
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3111
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6245
107.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7779
134.4 IPS |
