Mac15,12
Geekbench AI Score
7471
Single Precision Score
8981
Half Precision Score
8098
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | December 13 2024 10:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
4313
802.1 IPS |
|
|
Image Classification (HP)
|
100% |
4676
869.5 IPS |
|
|
Image Classification (Q)
|
97% |
4052
756.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4180
67.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5871
95.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6291
102.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24598
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26503
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
25242
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
4291
340.3 IPS |
|
|
Object Detection (HP)
|
100% |
4853
384.9 IPS |
|
|
Object Detection (Q)
|
91% |
4111
328.5 IPS |
|
|
Face Detection (SP)
|
100% |
11446
136.0 IPS |
|
|
Face Detection (HP)
|
100% |
14191
168.6 IPS |
|
|
Face Detection (Q)
|
100% |
10840
128.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18270
140.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
20429
157.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
17630
137.8 IPS |
|
|
Style Transfer (SP)
|
100% |
51222
65.8 IPS |
|
|
Style Transfer (HP)
|
100% |
60126
77.3 IPS |
|
|
Style Transfer (Q)
|
96% |
56388
72.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10970
405.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11761
434.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9451
349.0 IPS |
|
|
Text Classification (SP)
|
100% |
2919
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5212
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5175
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
870
15.0 IPS |
