Mac15,12
Geekbench AI Score
4159
Single Precision Score
7005
Half Precision Score
5653
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | December 13 2024 10:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1585
294.8 IPS |
|
|
Image Classification (HP)
|
100% |
2948
548.2 IPS |
|
|
Image Classification (Q)
|
96% |
2040
381.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1893
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2956
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3298
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8823
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17385
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15055
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1838
145.8 IPS |
|
|
Object Detection (HP)
|
97% |
3255
259.1 IPS |
|
|
Object Detection (Q)
|
94% |
2340
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
3570
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
6609
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
3915
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7226
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13620
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9391
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22464
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34050
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28293
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5259
194.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6115
225.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4455
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5255
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5198
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3521
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5865
101.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5841
100.9 IPS |
