Mac15,12
Geekbench AI Score
4153
Single Precision Score
7015
Half Precision Score
5660
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pwodev |
| Upload Date | October 07 2024 12:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1597
297.1 IPS |
|
|
Image Classification (HP)
|
100% |
2978
553.7 IPS |
|
|
Image Classification (Q)
|
96% |
2090
390.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3039
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3301
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8794
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17328
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15027
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1836
145.7 IPS |
|
|
Object Detection (HP)
|
97% |
3271
260.4 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3495
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6640
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
3934
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7219
55.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13588
105.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9368
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22457
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34016
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28276
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5279
194.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5987
221.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4364
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5165
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5169
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3524
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5928
102.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5876
101.6 IPS |
