Mac15,13
Geekbench AI Score
3970
Single Precision Score
30469
Half Precision Score
34512
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | February 07 2025 03:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.63 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1507
280.2 IPS |
|
|
Image Classification (HP)
|
100% |
16856
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
20624
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1733
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20464
331.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25195
408.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7927
9.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
121028
141.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
120521
141.3 IPS |
|
|
Object Detection (SP)
|
100% |
1770
140.4 IPS |
|
|
Object Detection (HP)
|
100% |
18606
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
20525
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3348
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
37388
444.3 IPS |
|
|
Face Detection (Q)
|
100% |
48555
576.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6944
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98412
758.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
124172
970.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21625
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
220773
283.8 IPS |
|
|
Style Transfer (Q)
|
96% |
220630
284.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5104
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47469
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59020
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5216
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5189
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3451
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4415
76.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4578
79.1 IPS |
