iPhone 15 Pro Max
Geekbench AI Score
3768
Single Precision Score
24500
Half Precision Score
34966
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 06:33 PM |
| Views | 1 |
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% |
1642
305.5 IPS |
|
|
Image Classification (HP)
|
100% |
10642
1.98 KIPS |
|
|
Image Classification (Q)
|
97% |
15400
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1566
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15624
253.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20861
338.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7321
8.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
101476
118.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
203146
238.1 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.3 IPS |
|
|
Object Detection (HP)
|
100% |
13749
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19074
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3083
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
33677
400.2 IPS |
|
|
Face Detection (Q)
|
100% |
50328
598.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6565
50.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78180
602.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
127204
994.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19606
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
200302
257.5 IPS |
|
|
Style Transfer (Q)
|
96% |
250377
323.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4559
168.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33530
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57834
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3204
4.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6118
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7389
127.7 IPS |
