Mac15,14
Geekbench AI Score
5501
Single Precision Score
30149
Half Precision Score
33362
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | March 07 2025 03:53 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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 | 4.05 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1721
320.0 IPS |
|
|
Image Classification (HP)
|
100% |
15552
2.89 KIPS |
|
|
Image Classification (Q)
|
97% |
17081
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21708
351.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26793
434.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22118
25.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
121303
141.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
119378
139.9 IPS |
|
|
Object Detection (SP)
|
100% |
2195
174.1 IPS |
|
|
Object Detection (HP)
|
100% |
18653
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
19302
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
4632
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
38058
452.2 IPS |
|
|
Face Detection (Q)
|
100% |
48781
579.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8165
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
102426
789.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
116967
914.5 IPS |
|
|
Style Transfer (SP)
|
100% |
35466
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
218503
280.9 IPS |
|
|
Style Transfer (Q)
|
96% |
212856
274.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6976
257.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37905
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49858
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2725
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4945
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4925
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5608
96.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5088
87.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5433
93.9 IPS |
