Mac15,12
Geekbench AI Score
4124
Single Precision Score
6965
Half Precision Score
6085
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 02:23 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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% |
1587
295.1 IPS |
|
|
Image Classification (HP)
|
100% |
2966
551.6 IPS |
|
|
Image Classification (Q)
|
99% |
2939
548.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3028
49.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
3029
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8785
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17296
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14818
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1835
145.5 IPS |
|
|
Object Detection (HP)
|
97% |
3269
260.3 IPS |
|
|
Object Detection (Q)
|
94% |
2359
188.0 IPS |
|
|
Face Detection (SP)
|
100% |
3496
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6644
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
3970
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7186
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13470
104.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
13461
104.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22386
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33857
43.5 IPS |
|
|
Style Transfer (Q)
|
100% |
34030
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5202
192.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5967
220.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4283
158.7 IPS |
|
|
Text Classification (SP)
|
100% |
2830
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
5063
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5017
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3513
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5785
100.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5728
99.0 IPS |
