Mac15,14
Geekbench AI Score
5585
Single Precision Score
8491
Half Precision Score
6625
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 20 2025 12:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.90 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1729
321.5 IPS |
|
|
Image Classification (HP)
|
100% |
2498
464.5 IPS |
|
|
Image Classification (Q)
|
96% |
1824
340.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2880
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3548
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
23714
27.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
40545
47.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
28670
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
2227
176.7 IPS |
|
|
Object Detection (HP)
|
97% |
3273
260.5 IPS |
|
|
Object Detection (Q)
|
94% |
2356
187.8 IPS |
|
|
Face Detection (SP)
|
100% |
4689
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
7415
88.1 IPS |
|
|
Face Detection (Q)
|
100% |
4228
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7988
61.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13759
106.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9430
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
37254
47.9 IPS |
|
|
Style Transfer (HP)
|
100% |
53718
69.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40891
52.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6893
254.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9425
348.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5796
214.0 IPS |
|
|
Text Classification (SP)
|
100% |
2702
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
4925
6.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4900
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5790
99.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8028
138.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8049
139.1 IPS |
