Mac15,14
Geekbench AI Score
5406
Single Precision Score
8355
Half Precision Score
6542
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | kelvan |
| Upload Date | June 26 2025 08:03 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1716
319.2 IPS |
|
|
Image Classification (HP)
|
100% |
2594
482.5 IPS |
|
|
Image Classification (Q)
|
96% |
1884
351.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2880
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3534
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22611
26.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
40457
47.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
28631
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
2182
173.1 IPS |
|
|
Object Detection (HP)
|
97% |
3195
254.4 IPS |
|
|
Object Detection (Q)
|
94% |
2322
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
4615
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
7074
84.0 IPS |
|
|
Face Detection (Q)
|
100% |
4139
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7756
59.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12707
98.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8789
68.7 IPS |
|
|
Style Transfer (SP)
|
100% |
36097
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
52346
67.3 IPS |
|
|
Style Transfer (Q)
|
96% |
40348
52.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6956
256.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9516
351.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5752
212.4 IPS |
|
|
Text Classification (SP)
|
100% |
2771
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5045
6.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5027
6.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4779
82.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7602
131.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7647
132.1 IPS |
