Mac15,12
Geekbench AI Score
3972
Single Precision Score
5639
Half Precision Score
4683
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ProhorTaim |
| Upload Date | August 19 2024 12:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1716
319.2 IPS |
|
|
Image Classification (HP)
|
100% |
2229
414.5 IPS |
|
|
Image Classification (Q)
|
99% |
2233
416.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1518
24.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1512
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8609
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17133
20.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14666
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1865
148.0 IPS |
|
|
Object Detection (HP)
|
97% |
2618
208.4 IPS |
|
|
Object Detection (Q)
|
94% |
2004
159.7 IPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
5075
60.3 IPS |
|
|
Face Detection (Q)
|
100% |
3268
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6835
52.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9788
75.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
5060
39.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21593
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32242
41.4 IPS |
|
|
Style Transfer (Q)
|
100% |
32248
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5038
186.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6131
226.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4416
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
2902
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
4747
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4731
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3184
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4597
79.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4590
79.3 IPS |
