Mac15,12
Geekbench AI Score
7452
Single Precision Score
8687
Half Precision Score
6722
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 02:28 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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% |
4207
782.4 IPS |
|
|
Image Classification (HP)
|
100% |
4559
847.9 IPS |
|
|
Image Classification (Q)
|
99% |
4069
758.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4318
70.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5963
96.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
5886
95.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
25070
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26534
31.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
24605
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
4275
339.1 IPS |
|
|
Object Detection (HP)
|
100% |
4839
383.8 IPS |
|
|
Object Detection (Q)
|
91% |
3794
303.2 IPS |
|
|
Face Detection (SP)
|
100% |
11647
138.4 IPS |
|
|
Face Detection (HP)
|
100% |
14946
177.6 IPS |
|
|
Face Detection (Q)
|
100% |
10688
127.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18583
143.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20397
157.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
2976
23.0 IPS |
|
|
Style Transfer (SP)
|
100% |
50178
64.5 IPS |
|
|
Style Transfer (HP)
|
100% |
60254
77.5 IPS |
|
|
Style Transfer (Q)
|
100% |
59779
76.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10921
403.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11728
433.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8874
328.8 IPS |
|
|
Text Classification (SP)
|
100% |
2837
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4988
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5014
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
997
17.2 IPS |
