Mac15,14
Geekbench AI Score
5413
Single Precision Score
8621
Half Precision Score
6759
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | alexpull |
| Upload Date | December 02 2025 01:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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% |
1680
312.5 IPS |
|
|
Image Classification (HP)
|
100% |
2577
479.2 IPS |
|
|
Image Classification (Q)
|
96% |
1878
350.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2835
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3549
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
23091
26.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
41376
48.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
31538
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
2127
168.7 IPS |
|
|
Object Detection (HP)
|
97% |
3227
256.9 IPS |
|
|
Object Detection (Q)
|
94% |
2344
186.8 IPS |
|
|
Face Detection (SP)
|
100% |
4617
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
7583
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
4236
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7837
60.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13948
107.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9694
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37726
48.5 IPS |
|
|
Style Transfer (HP)
|
100% |
61989
79.7 IPS |
|
|
Style Transfer (Q)
|
96% |
44623
57.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6406
236.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8999
332.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5626
207.7 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
99% |
4890
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4863
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4961
85.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8066
139.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8067
139.4 IPS |
