Mac15,14
Geekbench AI Score
5387
Single Precision Score
8270
Half Precision Score
6420
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Zagar |
| Upload Date | May 23 2025 01:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.04 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1697
315.6 IPS |
|
|
Image Classification (HP)
|
100% |
2547
473.7 IPS |
|
|
Image Classification (Q)
|
96% |
1868
348.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2857
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3492
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22553
26.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
38574
45.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
27764
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
2132
169.1 IPS |
|
|
Object Detection (HP)
|
97% |
3198
254.6 IPS |
|
|
Object Detection (Q)
|
94% |
2308
184.0 IPS |
|
|
Face Detection (SP)
|
100% |
4584
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
7147
84.9 IPS |
|
|
Face Detection (Q)
|
100% |
4075
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7755
59.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13056
100.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8670
67.8 IPS |
|
|
Style Transfer (SP)
|
100% |
34902
44.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48603
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
36545
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6641
245.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9453
349.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5742
212.0 IPS |
|
|
Text Classification (SP)
|
100% |
2767
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
5056
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5009
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5254
90.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7696
133.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7664
132.4 IPS |
