Mac15,14
Geekbench AI Score
5454
Single Precision Score
8307
Half Precision Score
6490
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Bud951 |
| Upload Date | March 30 2025 07:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| 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% |
1711
318.2 IPS |
|
|
Image Classification (HP)
|
100% |
2486
462.3 IPS |
|
|
Image Classification (Q)
|
96% |
1817
339.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2890
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3509
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
21358
24.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
37370
43.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
26807
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2182
173.1 IPS |
|
|
Object Detection (HP)
|
97% |
3258
259.3 IPS |
|
|
Object Detection (Q)
|
94% |
2329
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
4591
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
7314
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
4214
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7988
61.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13591
105.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9134
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
34852
44.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48964
62.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38501
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6912
255.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9458
349.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5805
214.4 IPS |
|
|
Text Classification (SP)
|
100% |
2723
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4915
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4908
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5681
97.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7912
136.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7898
136.5 IPS |
