Mac15,14
Geekbench AI Score
5497
Single Precision Score
8413
Half Precision Score
6609
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jschmitt3 |
| Upload Date | April 01 2025 08:20 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1723
320.4 IPS |
|
|
Image Classification (HP)
|
100% |
2592
482.0 IPS |
|
|
Image Classification (Q)
|
96% |
1878
350.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3551
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
23948
27.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
38843
45.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
28281
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
2169
172.1 IPS |
|
|
Object Detection (HP)
|
97% |
3197
254.5 IPS |
|
|
Object Detection (Q)
|
94% |
2320
185.0 IPS |
|
|
Face Detection (SP)
|
100% |
4655
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
7265
86.3 IPS |
|
|
Face Detection (Q)
|
100% |
4208
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7969
61.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13221
102.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9261
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38535
49.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54745
70.4 IPS |
|
|
Style Transfer (Q)
|
96% |
41176
53.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6963
257.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9469
349.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5840
215.7 IPS |
|
|
Text Classification (SP)
|
100% |
2782
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
5099
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5077
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4862
83.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7652
132.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7642
132.1 IPS |
