Mac15,14
Geekbench AI Score
5272
Single Precision Score
8220
Half Precision Score
6336
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mrkvans |
| Upload Date | March 19 2025 10:54 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 3.71 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1645
305.9 IPS |
|
|
Image Classification (HP)
|
100% |
2500
465.0 IPS |
|
|
Image Classification (Q)
|
96% |
1794
335.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2791
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3375
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
22684
26.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
38425
44.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
27527
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
2150
170.5 IPS |
|
|
Object Detection (HP)
|
97% |
3037
241.7 IPS |
|
|
Object Detection (Q)
|
94% |
2218
176.8 IPS |
|
|
Face Detection (SP)
|
100% |
4557
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
6992
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
4083
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7522
58.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12573
97.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8769
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
34914
44.9 IPS |
|
|
Style Transfer (HP)
|
100% |
55236
71.0 IPS |
|
|
Style Transfer (Q)
|
96% |
39433
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6288
232.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8899
328.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5626
207.7 IPS |
|
|
Text Classification (SP)
|
100% |
2642
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4800
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4582
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4982
85.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8344
144.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7758
134.1 IPS |
