Mac15,14
Geekbench AI Score
5367
Single Precision Score
30778
Half Precision Score
33671
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Zagar |
| Upload Date | May 23 2025 01:45 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.05 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1709
317.9 IPS |
|
|
Image Classification (HP)
|
100% |
15776
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
17344
3.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22369
362.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27387
444.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
21865
25.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121425
141.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
119682
140.3 IPS |
|
|
Object Detection (SP)
|
100% |
2139
169.7 IPS |
|
|
Object Detection (HP)
|
100% |
18633
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
17862
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
4526
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
38956
462.9 IPS |
|
|
Face Detection (Q)
|
100% |
49875
592.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7857
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
107152
825.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
123756
967.6 IPS |
|
|
Style Transfer (SP)
|
100% |
36061
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
221109
284.2 IPS |
|
|
Style Transfer (Q)
|
96% |
213304
275.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6930
255.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41114
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51078
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2781
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
5053
6.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5024
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4814
82.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4983
85.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5461
94.4 IPS |
