Mac15,12
Geekbench AI Score
4158
Single Precision Score
7016
Half Precision Score
5672
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | amadeus_ha |
| Upload Date | November 08 2024 11:35 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1590
295.7 IPS |
|
|
Image Classification (HP)
|
100% |
2957
549.9 IPS |
|
|
Image Classification (Q)
|
96% |
2075
387.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2997
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3322
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8554
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
17321
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15022
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1842
146.1 IPS |
|
|
Object Detection (HP)
|
97% |
3259
259.4 IPS |
|
|
Object Detection (Q)
|
94% |
2356
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
3554
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6836
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
3959
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7206
55.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13575
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9370
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22425
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34013
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28307
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5295
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5967
220.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4347
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5169
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5240
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3564
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5938
102.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5913
102.2 IPS |
