Mac15,12
Geekbench AI Score
7590
Single Precision Score
9022
Half Precision Score
8068
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | cracher56 |
| Upload Date | December 29 2024 02:22 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4345
808.1 IPS |
|
|
Image Classification (HP)
|
100% |
4710
875.8 IPS |
|
|
Image Classification (Q)
|
97% |
4041
754.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4335
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5984
97.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6322
102.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
25005
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26605
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25333
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
4419
350.5 IPS |
|
|
Object Detection (HP)
|
100% |
4909
389.4 IPS |
|
|
Object Detection (Q)
|
91% |
4150
331.6 IPS |
|
|
Face Detection (SP)
|
100% |
11777
139.9 IPS |
|
|
Face Detection (HP)
|
100% |
14839
176.3 IPS |
|
|
Face Detection (Q)
|
100% |
10953
130.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18722
144.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20487
157.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
17763
138.9 IPS |
|
|
Style Transfer (SP)
|
100% |
52030
66.9 IPS |
|
|
Style Transfer (HP)
|
100% |
60572
77.9 IPS |
|
|
Style Transfer (Q)
|
96% |
56789
73.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11025
407.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11878
438.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9511
351.2 IPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5180
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5162
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
803
13.9 IPS |
