Mac15,14
Geekbench AI Score
5325
Single Precision Score
8319
Half Precision Score
6471
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Asphyxiant |
| Upload Date | April 23 2025 07:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac15,14 |
| Model ID | Mac15,14 |
| Motherboard | Mac15,14 |
| CPU Information | |
|---|---|
| Name | Apple M3 Ultra |
| Topology | 1 Processor, 28 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1687
313.8 IPS |
|
|
Image Classification (HP)
|
100% |
2548
473.8 IPS |
|
|
Image Classification (Q)
|
96% |
1850
345.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2854
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3470
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21945
25.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
38768
45.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
27269
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
2133
169.2 IPS |
|
|
Object Detection (HP)
|
97% |
3155
251.2 IPS |
|
|
Object Detection (Q)
|
94% |
2288
182.4 IPS |
|
|
Face Detection (SP)
|
100% |
4492
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
6869
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
4090
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7877
60.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13567
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9192
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
34960
44.9 IPS |
|
|
Style Transfer (HP)
|
100% |
52632
67.7 IPS |
|
|
Style Transfer (Q)
|
96% |
39189
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6825
252.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9389
346.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5787
213.7 IPS |
|
|
Text Classification (SP)
|
100% |
2739
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
5053
6.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4958
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4817
83.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7671
132.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7609
131.5 IPS |
