Mac15,13
Geekbench AI Score
4112
Single Precision Score
31459
Half Precision Score
35238
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | GianPaJ |
| Upload Date | April 04 2025 05:17 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1591
295.8 IPS |
|
|
Image Classification (HP)
|
100% |
17653
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
20271
3.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1909
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21743
352.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27124
439.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8805
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122045
142.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
120890
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1820
144.4 IPS |
|
|
Object Detection (HP)
|
100% |
18534
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20902
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3481
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
39865
473.7 IPS |
|
|
Face Detection (Q)
|
100% |
52131
619.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7137
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98604
759.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
124251
971.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22379
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
230086
295.8 IPS |
|
|
Style Transfer (Q)
|
96% |
220100
284.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5244
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48908
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57688
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3020
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5380
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5366
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3229
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4595
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4815
83.2 IPS |
