Mac15,12
Geekbench AI Score
4146
Single Precision Score
33117
Half Precision Score
36982
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 05 2025 08:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1586
294.9 IPS |
|
|
Image Classification (HP)
|
100% |
17538
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
20075
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1934
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20822
337.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25444
412.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8598
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122307
142.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
121479
142.4 IPS |
|
|
Object Detection (SP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (HP)
|
100% |
18495
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20794
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3505
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
38939
462.7 IPS |
|
|
Face Detection (Q)
|
100% |
50521
600.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7230
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
98965
762.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
124078
970.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22436
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
230576
296.4 IPS |
|
|
Style Transfer (Q)
|
96% |
222448
287.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5269
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47697
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57127
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5170
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5188
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3563
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8768
151.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8976
155.1 IPS |
