Mac15,14
Geekbench AI Score
5380
Single Precision Score
8275
Half Precision Score
6513
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 21 2025 09:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac15,14 |
| Model ID | Mac15,14 |
| Motherboard | Mac15,14 |
| CPU Information | |
|---|---|
| Name | Apple M3 Ultra |
| Topology | 1 Processor, 28 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1721
320.1 IPS |
|
|
Image Classification (HP)
|
100% |
2593
482.2 IPS |
|
|
Image Classification (Q)
|
96% |
1882
351.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2867
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3543
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22096
25.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
37515
43.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
27424
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
2179
172.8 IPS |
|
|
Object Detection (HP)
|
97% |
3188
253.8 IPS |
|
|
Object Detection (Q)
|
94% |
2321
185.0 IPS |
|
|
Face Detection (SP)
|
100% |
4581
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
7105
84.4 IPS |
|
|
Face Detection (Q)
|
100% |
4137
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7957
61.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13356
103.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9035
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
34106
43.8 IPS |
|
|
Style Transfer (HP)
|
100% |
49325
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38487
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6988
258.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9352
345.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5849
216.0 IPS |
|
|
Text Classification (SP)
|
100% |
2777
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
5054
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5024
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4849
83.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7657
132.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7657
132.3 IPS |
