Mac15,14
Geekbench AI Score
5471
Single Precision Score
8399
Half Precision Score
7075
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | June 18 2025 02:13 PM |
| Views | 3 |
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, 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% |
1731
321.9 IPS |
|
|
Image Classification (HP)
|
100% |
2584
480.6 IPS |
|
|
Image Classification (Q)
|
99% |
2579
481.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2885
46.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
2842
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23407
27.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
40144
46.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
28728
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
2187
173.5 IPS |
|
|
Object Detection (HP)
|
97% |
3200
254.8 IPS |
|
|
Object Detection (Q)
|
94% |
2324
185.2 IPS |
|
|
Face Detection (SP)
|
100% |
4645
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
7243
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
4204
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7991
61.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13111
101.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
13251
102.5 IPS |
|
|
Style Transfer (SP)
|
100% |
37639
48.4 IPS |
|
|
Style Transfer (HP)
|
100% |
52784
67.9 IPS |
|
|
Style Transfer (Q)
|
100% |
52136
67.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6948
256.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9477
350.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5808
215.2 IPS |
|
|
Text Classification (SP)
|
100% |
2756
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
5035
6.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5009
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4781
82.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7632
131.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7602
131.4 IPS |
