Mac15,14
Geekbench AI Score
5477
Single Precision Score
8274
Half Precision Score
6473
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mrfearless47 |
| Upload Date | March 17 2025 05:49 PM |
| Views | 6 |
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 | 3.95 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1727
321.1 IPS |
|
|
Image Classification (HP)
|
100% |
2485
462.1 IPS |
|
|
Image Classification (Q)
|
96% |
1818
339.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2925
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3521
57.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22290
26.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
36298
42.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
25751
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
2216
175.8 IPS |
|
|
Object Detection (HP)
|
97% |
3300
262.7 IPS |
|
|
Object Detection (Q)
|
94% |
2363
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
4616
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
7272
86.4 IPS |
|
|
Face Detection (Q)
|
100% |
4228
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7913
61.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13501
104.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9255
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33994
43.7 IPS |
|
|
Style Transfer (HP)
|
100% |
47176
60.6 IPS |
|
|
Style Transfer (Q)
|
96% |
36930
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6778
250.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9457
349.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5774
213.2 IPS |
|
|
Text Classification (SP)
|
100% |
2739
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4907
6.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4958
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5842
100.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8037
138.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8022
138.6 IPS |
