Mac15,14
Geekbench AI Score
5353
Single Precision Score
8318
Half Precision Score
6507
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Asphyxiant |
| Upload Date | April 17 2025 12:50 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.48 GHz |
| Cluster 1 | 24 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1681
312.6 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.1 IPS |
|
|
Image Classification (Q)
|
96% |
1790
334.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2726
44.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3367
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22456
26.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
40584
47.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
28767
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
2147
170.3 IPS |
|
|
Object Detection (HP)
|
97% |
3188
253.8 IPS |
|
|
Object Detection (Q)
|
94% |
2326
185.4 IPS |
|
|
Face Detection (SP)
|
100% |
4539
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
6990
83.1 IPS |
|
|
Face Detection (Q)
|
100% |
4073
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7705
59.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13031
100.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9236
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
36063
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
53356
68.6 IPS |
|
|
Style Transfer (Q)
|
96% |
40617
52.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6849
252.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9376
346.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5784
213.6 IPS |
|
|
Text Classification (SP)
|
100% |
2730
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5006
6.68 KIPS |
|
|
Text Classification (Q)
|
93% |
4959
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4998
86.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7804
134.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7702
133.1 IPS |
