Mac15,14
Geekbench AI Score
5176
Single Precision Score
7920
Half Precision Score
6365
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | lethean-devserver |
| Upload Date | September 06 2025 04:37 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | Mac15,14 |
| Model ID | Mac15,14 |
| Motherboard | Mac15,14 |
| CPU Information | |
|---|---|
| Name | Apple M3 Ultra |
| Topology | 1 Processor, 32 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1715
318.9 IPS |
|
|
Image Classification (HP)
|
100% |
2571
478.1 IPS |
|
|
Image Classification (Q)
|
96% |
1880
351.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2864
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3540
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17790
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
28974
33.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
22944
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
2061
163.5 IPS |
|
|
Object Detection (HP)
|
97% |
3166
252.0 IPS |
|
|
Object Detection (Q)
|
94% |
2294
182.9 IPS |
|
|
Face Detection (SP)
|
100% |
4149
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
6409
76.2 IPS |
|
|
Face Detection (Q)
|
100% |
4123
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7891
60.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12570
97.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8802
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33385
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48002
61.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38076
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6918
255.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9480
350.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5789
213.8 IPS |
|
|
Text Classification (SP)
|
100% |
2786
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
5078
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5073
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4888
84.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7727
133.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7682
132.7 IPS |
