Mac15,14
Geekbench AI Score
5493
Single Precision Score
8437
Half Precision Score
6623
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | gshurley42 |
| Upload Date | April 17 2025 01:01 AM |
| Views | 6 |
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, 32 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1736
322.9 IPS |
|
|
Image Classification (HP)
|
100% |
2582
480.1 IPS |
|
|
Image Classification (Q)
|
96% |
1883
351.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2906
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3554
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
23369
27.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
38175
44.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
28540
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
2175
172.5 IPS |
|
|
Object Detection (HP)
|
97% |
3233
257.4 IPS |
|
|
Object Detection (Q)
|
94% |
2340
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
4685
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
7269
86.4 IPS |
|
|
Face Detection (Q)
|
100% |
4177
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8034
61.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13641
105.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9335
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
37434
48.1 IPS |
|
|
Style Transfer (HP)
|
100% |
53723
69.1 IPS |
|
|
Style Transfer (Q)
|
96% |
40782
52.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6978
257.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9440
348.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5857
216.3 IPS |
|
|
Text Classification (SP)
|
100% |
2784
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
5116
6.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5075
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4873
83.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7679
132.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7694
133.0 IPS |
