Mac15,14
Geekbench AI Score
5517
Single Precision Score
8492
Half Precision Score
6574
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | kalling |
| Upload Date | March 28 2025 03:42 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| Model | Mac15,14 |
| Model ID | Mac15,14 |
| Motherboard | Mac15,14 |
| CPU Information | |
|---|---|
| Name | Apple M3 Ultra |
| Topology | 1 Processor, 32 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1702
316.4 IPS |
|
|
Image Classification (HP)
|
100% |
2503
465.5 IPS |
|
|
Image Classification (Q)
|
96% |
1825
340.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2896
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3515
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
23257
27.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
40566
47.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
27524
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
2191
173.8 IPS |
|
|
Object Detection (HP)
|
97% |
3300
262.7 IPS |
|
|
Object Detection (Q)
|
94% |
2347
187.0 IPS |
|
|
Face Detection (SP)
|
100% |
4659
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
7482
88.9 IPS |
|
|
Face Detection (Q)
|
100% |
4283
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8005
61.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13733
106.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9458
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35383
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
51619
66.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38938
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6866
253.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9505
351.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5803
214.3 IPS |
|
|
Text Classification (SP)
|
100% |
2741
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4944
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4899
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5627
96.9 IPS |
|
|
Machine Translation (HP)
|
98% |
8066
139.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8117
140.3 IPS |
