Mac15,14
Geekbench AI Score
5480
Single Precision Score
8500
Half Precision Score
6629
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | SuperTerminator |
| Upload Date | April 26 2025 01:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1729
321.5 IPS |
|
|
Image Classification (HP)
|
100% |
2564
476.7 IPS |
|
|
Image Classification (Q)
|
96% |
1888
352.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2874
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3506
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23866
27.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
41290
48.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
28118
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
2062
163.5 IPS |
|
|
Object Detection (HP)
|
97% |
3185
253.5 IPS |
|
|
Object Detection (Q)
|
94% |
2338
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
4657
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
7276
86.5 IPS |
|
|
Face Detection (Q)
|
100% |
4211
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8033
61.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13561
104.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9313
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
38359
49.3 IPS |
|
|
Style Transfer (HP)
|
100% |
55348
71.2 IPS |
|
|
Style Transfer (Q)
|
96% |
42194
54.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6981
257.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9514
351.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5860
216.4 IPS |
|
|
Text Classification (SP)
|
100% |
2786
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
5101
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5080
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4821
83.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7666
132.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7656
132.3 IPS |
