Mac15,14
Geekbench AI Score
5483
Single Precision Score
8427
Half Precision Score
6580
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jekel |
| Upload Date | April 13 2025 02:04 PM |
| Views | 8 |
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 | 4.05 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% |
2482
461.5 IPS |
|
|
Image Classification (Q)
|
96% |
1823
340.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2946
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3580
58.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22141
25.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
39546
46.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28431
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
2199
174.4 IPS |
|
|
Object Detection (HP)
|
97% |
3258
259.4 IPS |
|
|
Object Detection (Q)
|
94% |
2345
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
4614
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
7311
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
4231
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7980
61.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13993
108.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9300
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
34481
44.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49370
63.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38449
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6968
257.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9453
349.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5821
214.9 IPS |
|
|
Text Classification (SP)
|
100% |
2749
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4999
6.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4958
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5667
97.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8038
138.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8018
138.6 IPS |
