Mac15,12
Geekbench AI Score
4131
Single Precision Score
31477
Half Precision Score
35437
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ProhorTaim |
| Upload Date | April 27 2025 03:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1593
296.2 IPS |
|
|
Image Classification (HP)
|
100% |
17618
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
20694
3.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1889
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22075
357.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27223
441.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8910
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121330
141.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
121029
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
100% |
18529
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20952
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3489
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
40091
476.4 IPS |
|
|
Face Detection (Q)
|
100% |
52462
623.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7168
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98609
759.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
124410
972.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22461
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
228432
293.7 IPS |
|
|
Style Transfer (Q)
|
96% |
221217
285.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5283
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48266
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57864
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3061
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
5447
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5446
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3268
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4601
79.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4806
83.1 IPS |
