Mac15,13
Geekbench AI Score
4108
Single Precision Score
32912
Half Precision Score
36690
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 11 2024 03:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1575
292.9 IPS |
|
|
Image Classification (HP)
|
100% |
17078
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
20216
3.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20639
334.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24929
404.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8421
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
122156
142.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
120891
141.7 IPS |
|
|
Object Detection (SP)
|
100% |
1821
144.4 IPS |
|
|
Object Detection (HP)
|
100% |
18458
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
20859
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3483
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
38666
459.4 IPS |
|
|
Face Detection (Q)
|
100% |
47103
559.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7157
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
98608
759.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
124062
970.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22341
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
229378
294.9 IPS |
|
|
Style Transfer (Q)
|
96% |
222245
286.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5215
192.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46328
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56730
2.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2906
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5337
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5226
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3523
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8679
149.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9035
156.1 IPS |
