Mac15,14
Geekbench AI Score
5576
Single Precision Score
29710
Half Precision Score
33450
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 20 2025 12:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 32 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1697
315.6 IPS |
|
|
Image Classification (HP)
|
100% |
15316
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
16914
3.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21584
349.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
26819
434.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24269
28.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
121291
141.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
119446
140.0 IPS |
|
|
Object Detection (SP)
|
100% |
2182
173.1 IPS |
|
|
Object Detection (HP)
|
100% |
17664
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
19489
1.56 KIPS |
|
|
Face Detection (SP)
|
100% |
4644
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
35898
426.5 IPS |
|
|
Face Detection (Q)
|
100% |
49108
583.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8080
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
102423
789.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
117760
920.7 IPS |
|
|
Style Transfer (SP)
|
100% |
37063
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
217097
279.1 IPS |
|
|
Style Transfer (Q)
|
96% |
212952
274.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6894
254.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37830
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50653
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2722
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4948
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4938
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5766
99.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5064
87.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5392
93.2 IPS |
