Mac15,14
Geekbench AI Score
5495
Single Precision Score
8318
Half Precision Score
6452
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | paparazzi83 |
| Upload Date | April 03 2025 08:58 PM |
| Views | 3 |
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, 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% |
1711
318.1 IPS |
|
|
Image Classification (HP)
|
100% |
2507
466.2 IPS |
|
|
Image Classification (Q)
|
96% |
1825
340.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2162
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2944
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3546
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
21848
25.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
37165
43.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
26192
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
2208
175.1 IPS |
|
|
Object Detection (HP)
|
97% |
3272
260.5 IPS |
|
|
Object Detection (Q)
|
94% |
2347
187.1 IPS |
|
|
Face Detection (SP)
|
100% |
4681
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
7400
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4205
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8049
62.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13478
104.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9031
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32144
41.3 IPS |
|
|
Style Transfer (HP)
|
100% |
45901
59.0 IPS |
|
|
Style Transfer (Q)
|
96% |
35445
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6969
257.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9544
352.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5794
213.9 IPS |
|
|
Text Classification (SP)
|
100% |
2758
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
5002
6.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4977
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
6053
104.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8088
139.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8104
140.0 IPS |
