Mac15,14
Geekbench AI Score
5434
Single Precision Score
8713
Half Precision Score
6821
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | ncsancsa |
| Upload Date | October 27 2025 08:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
1673
311.0 IPS |
|
|
Image Classification (HP)
|
100% |
2581
480.0 IPS |
|
|
Image Classification (Q)
|
96% |
1892
353.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2853
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3530
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22457
26.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
40713
47.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30993
36.3 IPS |
|
|
Object Detection (SP)
|
100% |
2147
170.3 IPS |
|
|
Object Detection (HP)
|
97% |
3238
257.8 IPS |
|
|
Object Detection (Q)
|
94% |
2366
188.6 IPS |
|
|
Face Detection (SP)
|
100% |
4676
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
7596
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4266
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7876
60.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
14013
108.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9751
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
36902
47.4 IPS |
|
|
Style Transfer (HP)
|
100% |
63051
81.1 IPS |
|
|
Style Transfer (Q)
|
96% |
45094
58.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6608
244.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9175
338.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5650
208.6 IPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
5166
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5144
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5012
86.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8171
141.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8174
141.3 IPS |
