iPhone 15 Pro Max
Geekbench AI Score
3897
Single Precision Score
3292
Half Precision Score
3796
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 09:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2573
478.5 IPS |
|
|
Image Classification (HP)
|
100% |
1823
339.0 IPS |
|
|
Image Classification (Q)
|
97% |
2475
461.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3018
48.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2770
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12540
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
13306
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12884
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
2887
229.0 IPS |
|
|
Object Detection (HP)
|
100% |
1181
93.7 IPS |
|
|
Object Detection (Q)
|
91% |
2576
205.9 IPS |
|
|
Face Detection (SP)
|
100% |
6433
76.4 IPS |
|
|
Face Detection (HP)
|
100% |
6783
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
2808
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7184
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8145
62.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6613
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14166
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16983
21.8 IPS |
|
|
Style Transfer (Q)
|
96% |
16210
20.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3944
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4603
170.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4903
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4139
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4167
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
473
8.15 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (Q)
|
98% |
445
7.69 IPS |
