Mac15,14
Geekbench AI Score
5532
Single Precision Score
8161
Half Precision Score
6562
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | everestsky |
| Upload Date | April 24 2025 07:13 PM |
| Views | 2 |
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% |
1729
321.5 IPS |
|
|
Image Classification (HP)
|
100% |
2515
467.8 IPS |
|
|
Image Classification (Q)
|
96% |
1838
343.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2949
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3541
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21456
25.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
28375
33.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
27374
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
97% |
3272
260.5 IPS |
|
|
Object Detection (Q)
|
94% |
2338
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
4689
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
7457
88.6 IPS |
|
|
Face Detection (Q)
|
100% |
4255
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8130
62.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13505
104.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9475
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
33262
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48188
61.9 IPS |
|
|
Style Transfer (Q)
|
96% |
37432
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6998
258.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9627
355.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5809
214.5 IPS |
|
|
Text Classification (SP)
|
100% |
2770
3.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5019
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4977
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
6128
105.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8125
140.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8146
140.8 IPS |
