iPhone 15 Pro Max
Geekbench AI Score
3907
Single Precision Score
24380
Half Precision Score
34000
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | semperfidelis316 |
| Upload Date | September 21 2024 04:13 PM |
| Views | 3 |
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% |
1711
318.2 IPS |
|
|
Image Classification (HP)
|
100% |
11347
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
15115
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12895
209.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16027
259.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7855
9.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
106037
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
204397
239.6 IPS |
|
|
Object Detection (SP)
|
100% |
1771
140.5 IPS |
|
|
Object Detection (HP)
|
100% |
13718
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
18987
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
33552
398.7 IPS |
|
|
Face Detection (Q)
|
100% |
49619
589.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6990
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78869
607.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
128917
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
20772
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
202199
259.9 IPS |
|
|
Style Transfer (Q)
|
96% |
245941
317.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4895
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34103
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56189
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3103
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3211
4.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3117
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6158
106.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7737
133.7 IPS |
