Mac15,12
Geekbench AI Score
4131
Single Precision Score
6973
Half Precision Score
5622
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | unixwizard |
| Upload Date | December 10 2024 02:12 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1581
294.1 IPS |
|
|
Image Classification (HP)
|
100% |
2947
548.1 IPS |
|
|
Image Classification (Q)
|
96% |
2043
381.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2981
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3277
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8559
9.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
17235
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14898
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1831
145.3 IPS |
|
|
Object Detection (HP)
|
97% |
3238
257.8 IPS |
|
|
Object Detection (Q)
|
94% |
2337
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3490
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6649
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3912
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7215
55.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13508
104.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9231
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22144
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34004
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28179
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5256
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4359
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5164
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5194
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3526
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5852
101.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5882
101.6 IPS |
