Mac15,12
Geekbench AI Score
6757
Single Precision Score
7926
Half Precision Score
7447
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | December 17 2024 02:09 PM |
| Views | 2 |
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% |
3936
732.0 IPS |
|
|
Image Classification (HP)
|
100% |
4175
776.5 IPS |
|
|
Image Classification (Q)
|
97% |
3604
672.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3967
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5213
84.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5285
85.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20207
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
21414
25.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
20477
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
4038
320.3 IPS |
|
|
Object Detection (HP)
|
100% |
4390
348.2 IPS |
|
|
Object Detection (Q)
|
91% |
3723
297.5 IPS |
|
|
Face Detection (SP)
|
100% |
10963
130.3 IPS |
|
|
Face Detection (HP)
|
100% |
13090
155.5 IPS |
|
|
Face Detection (Q)
|
100% |
9458
112.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16913
130.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18699
144.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
16103
125.9 IPS |
|
|
Style Transfer (SP)
|
100% |
44323
57.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49799
64.0 IPS |
|
|
Style Transfer (Q)
|
96% |
46993
60.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9140
337.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9778
361.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7771
286.9 IPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5205
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5141
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1264
21.8 IPS |
