Mac15,14
Geekbench AI Score
5400
Single Precision Score
8229
Half Precision Score
6468
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | DVB |
| Upload Date | May 13 2025 01:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1734
322.5 IPS |
|
|
Image Classification (HP)
|
100% |
2592
481.9 IPS |
|
|
Image Classification (Q)
|
96% |
1884
351.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2896
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3539
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22153
25.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
37577
43.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
27730
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
2188
173.5 IPS |
|
|
Object Detection (HP)
|
97% |
3211
255.7 IPS |
|
|
Object Detection (Q)
|
94% |
2330
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
4700
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
7097
84.3 IPS |
|
|
Face Detection (Q)
|
100% |
4137
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7857
60.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12445
96.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8673
67.8 IPS |
|
|
Style Transfer (SP)
|
100% |
34454
44.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48310
62.1 IPS |
|
|
Style Transfer (Q)
|
96% |
36657
47.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6959
257.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9493
350.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5839
215.6 IPS |
|
|
Text Classification (SP)
|
100% |
2789
3.72 KIPS |
|
|
Text Classification (HP)
|
100% |
5058
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5057
6.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4805
82.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7681
132.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7666
132.5 IPS |
