Mac15,14
Geekbench AI Score
5431
Single Precision Score
8290
Half Precision Score
6514
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 05 2025 03:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 3.94 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1654
307.6 IPS |
|
|
Image Classification (HP)
|
100% |
2542
472.7 IPS |
|
|
Image Classification (Q)
|
96% |
1816
339.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2813
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3410
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23361
27.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
37602
43.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
28315
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
2160
171.3 IPS |
|
|
Object Detection (HP)
|
97% |
3190
253.9 IPS |
|
|
Object Detection (Q)
|
94% |
2322
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
4541
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
7198
85.5 IPS |
|
|
Face Detection (Q)
|
100% |
4115
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7666
59.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12805
99.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9323
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
37943
48.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54272
69.8 IPS |
|
|
Style Transfer (Q)
|
96% |
40052
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6876
253.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9277
342.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5633
208.0 IPS |
|
|
Text Classification (SP)
|
100% |
2756
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
5005
6.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5074
6.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5119
88.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7696
133.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7700
133.1 IPS |
