Mac15,14
Geekbench AI Score
5379
Single Precision Score
29860
Half Precision Score
32283
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 06:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
1665
309.7 IPS |
|
|
Image Classification (HP)
|
100% |
14952
2.78 KIPS |
|
|
Image Classification (Q)
|
97% |
15197
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22312
361.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26970
437.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21704
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
119986
140.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
118041
138.4 IPS |
|
|
Object Detection (SP)
|
100% |
2132
169.1 IPS |
|
|
Object Detection (HP)
|
100% |
16452
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
16618
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
4629
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
38167
453.5 IPS |
|
|
Face Detection (Q)
|
100% |
49436
587.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7835
60.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
101721
783.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
115336
901.7 IPS |
|
|
Style Transfer (SP)
|
100% |
37234
47.9 IPS |
|
|
Style Transfer (HP)
|
100% |
217588
279.7 IPS |
|
|
Style Transfer (Q)
|
96% |
207974
268.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6493
239.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38544
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45429
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
5067
6.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5057
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4918
84.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5187
89.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5614
97.0 IPS |
