Mac15,12
Geekbench AI Score
4159
Single Precision Score
7016
Half Precision Score
5700
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jaketbeverage |
| Upload Date | October 16 2024 03:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
1588
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
2960
550.5 IPS |
|
|
Image Classification (Q)
|
96% |
2090
390.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3030
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3396
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8724
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17335
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15010
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1856
147.3 IPS |
|
|
Object Detection (HP)
|
97% |
3295
262.3 IPS |
|
|
Object Detection (Q)
|
94% |
2377
189.5 IPS |
|
|
Face Detection (SP)
|
100% |
3555
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6767
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3959
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7240
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13657
105.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9449
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22285
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34044
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28466
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5279
194.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5920
218.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4344
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
2877
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5247
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5298
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5778
99.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5842
101.0 IPS |
