Mac15,12
Geekbench AI Score
4169
Single Precision Score
7028
Half Precision Score
5737
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 03:05 AM |
| Views | 1 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1586
295.0 IPS |
|
|
Image Classification (HP)
|
100% |
2985
555.1 IPS |
|
|
Image Classification (Q)
|
96% |
2097
391.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3052
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3412
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8855
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17393
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15069
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1862
147.7 IPS |
|
|
Object Detection (HP)
|
97% |
3304
263.0 IPS |
|
|
Object Detection (Q)
|
94% |
2400
191.3 IPS |
|
|
Face Detection (SP)
|
100% |
3540
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6691
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
4010
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7262
55.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13732
106.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9497
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22633
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34272
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28648
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5266
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5967
220.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4354
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5154
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5398
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3542
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5805
100.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5828
100.7 IPS |
