Mac15,13
Geekbench AI Score
4122
Single Precision Score
31426
Half Precision Score
35259
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 11 2025 06:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| 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% |
1595
296.7 IPS |
|
|
Image Classification (HP)
|
100% |
17564
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
20173
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22019
356.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
27147
440.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8884
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121395
141.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
121289
142.2 IPS |
|
|
Object Detection (SP)
|
100% |
1832
145.3 IPS |
|
|
Object Detection (HP)
|
100% |
18494
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20888
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3441
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
39940
474.6 IPS |
|
|
Face Detection (Q)
|
100% |
52163
619.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7171
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98525
759.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
123749
967.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22416
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
229959
295.6 IPS |
|
|
Style Transfer (Q)
|
96% |
221115
285.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5267
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48037
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57858
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3015
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5416
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5410
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3243
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4596
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4791
82.8 IPS |
