Mac15,14
Geekbench AI Score
5551
Single Precision Score
8496
Half Precision Score
6620
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | everestsky |
| Upload Date | April 18 2025 07:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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 | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1718
319.5 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.3 IPS |
|
|
Image Classification (Q)
|
96% |
1838
343.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2952
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3550
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22439
26.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
40349
47.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28974
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
2211
175.3 IPS |
|
|
Object Detection (HP)
|
97% |
3278
261.0 IPS |
|
|
Object Detection (Q)
|
94% |
2350
187.3 IPS |
|
|
Face Detection (SP)
|
100% |
4659
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
7349
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
4307
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8136
62.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13783
106.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9383
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
34850
44.8 IPS |
|
|
Style Transfer (HP)
|
100% |
49640
63.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38382
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7048
260.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9597
354.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5843
215.8 IPS |
|
|
Text Classification (SP)
|
100% |
2759
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
5076
6.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4957
6.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5828
100.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8127
140.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8101
140.0 IPS |
