Mac15,12
Geekbench AI Score
4169
Single Precision Score
31020
Half Precision Score
34851
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | December 13 2024 10:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1584
294.6 IPS |
|
|
Image Classification (HP)
|
100% |
17522
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
20530
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1896
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21284
345.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26046
422.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8893
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122096
142.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
121146
142.0 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (HP)
|
100% |
18483
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
21008
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3539
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
38966
463.0 IPS |
|
|
Face Detection (Q)
|
100% |
50449
599.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7237
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98763
760.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
124653
974.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22537
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
229715
295.3 IPS |
|
|
Style Transfer (Q)
|
96% |
220386
284.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5290
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46879
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57097
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5378
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5244
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3519
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4398
75.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4681
80.9 IPS |
