Mac15,14
Geekbench AI Score
5339
Single Precision Score
8202
Half Precision Score
6461
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | happy-wolf-abridge |
| Upload Date | April 12 2025 08:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1710
318.0 IPS |
|
|
Image Classification (HP)
|
100% |
2584
480.5 IPS |
|
|
Image Classification (Q)
|
96% |
1873
349.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2094
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2830
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3526
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21332
24.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
36595
42.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26635
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
2164
171.6 IPS |
|
|
Object Detection (HP)
|
97% |
3185
253.5 IPS |
|
|
Object Detection (Q)
|
94% |
2322
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
4602
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
7099
84.3 IPS |
|
|
Face Detection (Q)
|
100% |
4133
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7932
61.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13297
102.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8898
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33329
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
46709
60.0 IPS |
|
|
Style Transfer (Q)
|
96% |
37565
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6977
257.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9464
349.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5829
215.2 IPS |
|
|
Text Classification (SP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
5070
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5028
6.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4824
83.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7643
132.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7666
132.5 IPS |
