Mac15,13
Geekbench AI Score
4155
Single Precision Score
31505
Half Precision Score
35062
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | May 17 2025 01:21 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1618
300.9 IPS |
|
|
Image Classification (HP)
|
100% |
17695
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
20543
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21989
356.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27122
439.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8977
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121403
141.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
121241
142.1 IPS |
|
|
Object Detection (SP)
|
100% |
1826
144.9 IPS |
|
|
Object Detection (HP)
|
100% |
18602
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
20963
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3555
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
39793
472.8 IPS |
|
|
Face Detection (Q)
|
100% |
47373
562.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7192
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
98686
760.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
124215
971.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22462
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
230593
296.4 IPS |
|
|
Style Transfer (Q)
|
96% |
219783
283.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5286
195.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48467
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58707
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3008
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
5419
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5417
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3300
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4611
79.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4822
83.3 IPS |
