Mac15,12
Geekbench AI Score
4165
Single Precision Score
7023
Half Precision Score
5700
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 08:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac15,12 |
| 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% |
1584
294.6 IPS |
|
|
Image Classification (HP)
|
100% |
2946
547.9 IPS |
|
|
Image Classification (Q)
|
96% |
2085
389.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3052
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3388
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8884
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17353
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15062
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1850
146.8 IPS |
|
|
Object Detection (HP)
|
97% |
3283
261.4 IPS |
|
|
Object Detection (Q)
|
94% |
2374
189.2 IPS |
|
|
Face Detection (SP)
|
100% |
3492
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6704
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
3992
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7234
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13628
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9407
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22505
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34088
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28420
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5306
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6024
222.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4403
162.6 IPS |
|
|
Text Classification (SP)
|
100% |
2881
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5222
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5194
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5822
100.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5874
101.5 IPS |
