Mac15,13
Geekbench AI Score
3342
Single Precision Score
5515
Half Precision Score
4997
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | dieterthomas |
| Upload Date | January 13 2025 03:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 2.86 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
685
127.3 IPS |
|
|
Image Classification (HP)
|
100% |
982
182.6 IPS |
|
|
Image Classification (Q)
|
96% |
673
125.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3238
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8341
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
17178
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14902
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (HP)
|
97% |
3217
256.1 IPS |
|
|
Object Detection (Q)
|
94% |
2308
184.0 IPS |
|
|
Face Detection (SP)
|
100% |
3503
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6396
76.0 IPS |
|
|
Face Detection (Q)
|
100% |
3850
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7004
54.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13450
104.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9296
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21976
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33762
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28024
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5164
190.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6053
223.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4399
162.4 IPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5205
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5172
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3452
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5715
98.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5681
98.2 IPS |
