Mac15,14
Geekbench AI Score
5455
Single Precision Score
8356
Half Precision Score
6516
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 17 2025 08:21 AM |
| 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% |
1698
315.8 IPS |
|
|
Image Classification (HP)
|
100% |
2511
467.0 IPS |
|
|
Image Classification (Q)
|
96% |
1827
341.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2933
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3545
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
21706
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
39021
45.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
27567
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
2180
172.9 IPS |
|
|
Object Detection (HP)
|
97% |
3225
256.7 IPS |
|
|
Object Detection (Q)
|
94% |
2325
185.3 IPS |
|
|
Face Detection (SP)
|
100% |
4617
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
7342
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4239
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8081
62.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
14124
109.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9327
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
33202
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
47015
60.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36534
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6964
257.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9314
343.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5839
215.6 IPS |
|
|
Text Classification (SP)
|
100% |
2723
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4937
6.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4912
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5760
99.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7990
138.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8034
138.8 IPS |
