Mac15,12
Geekbench AI Score
4037
Single Precision Score
6950
Half Precision Score
5627
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 22 2025 09:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 4.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1517
282.1 IPS |
|
|
Image Classification (HP)
|
100% |
2921
543.2 IPS |
|
|
Image Classification (Q)
|
96% |
2048
382.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2873
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3216
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8637
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17460
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15061
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1815
143.9 IPS |
|
|
Object Detection (HP)
|
97% |
3160
251.6 IPS |
|
|
Object Detection (Q)
|
94% |
2295
183.0 IPS |
|
|
Face Detection (SP)
|
100% |
3410
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
6371
75.7 IPS |
|
|
Face Detection (Q)
|
100% |
3829
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7047
54.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12852
99.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8984
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22266
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34337
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28444
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5099
188.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6133
226.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4469
165.0 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5178
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5175
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6363
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6188
106.9 IPS |
