Mac15,14
Geekbench AI Score
5500
Single Precision Score
8385
Half Precision Score
6567
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | mezorn26 |
| Upload Date | September 10 2025 03:52 PM |
| Views | 3 |
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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1735
322.7 IPS |
|
|
Image Classification (HP)
|
100% |
2517
468.1 IPS |
|
|
Image Classification (Q)
|
96% |
1835
342.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2947
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3567
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
22090
25.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
38694
45.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28230
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
2207
175.0 IPS |
|
|
Object Detection (HP)
|
97% |
3290
261.9 IPS |
|
|
Object Detection (Q)
|
94% |
2354
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
4698
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
7316
86.9 IPS |
|
|
Face Detection (Q)
|
100% |
4276
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8060
62.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
13231
102.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9338
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33617
43.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48313
62.1 IPS |
|
|
Style Transfer (Q)
|
96% |
36575
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7018
259.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9598
354.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5817
214.8 IPS |
|
|
Text Classification (SP)
|
100% |
2716
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4936
6.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4903
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5807
100.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8218
142.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8235
142.3 IPS |
