Mac15,12
Geekbench AI Score
4160
Single Precision Score
7028
Half Precision Score
5674
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | November 04 2024 03:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1570
291.9 IPS |
|
|
Image Classification (HP)
|
100% |
2978
553.8 IPS |
|
|
Image Classification (Q)
|
96% |
2073
387.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3044
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3299
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8657
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17354
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15033
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1842
146.1 IPS |
|
|
Object Detection (HP)
|
97% |
3272
260.5 IPS |
|
|
Object Detection (Q)
|
94% |
2361
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3504
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
6662
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
3975
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7250
55.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13560
104.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9380
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22475
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34066
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28297
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5290
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6019
222.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4369
161.3 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5242
7.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5240
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5886
101.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5906
102.1 IPS |
