Mac15,12
Geekbench AI Score
7534
Single Precision Score
9046
Half Precision Score
8222
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | November 20 2024 03:26 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4322
803.9 IPS |
|
|
Image Classification (HP)
|
100% |
4688
871.8 IPS |
|
|
Image Classification (Q)
|
97% |
4032
752.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4395
71.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6015
97.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6307
102.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
25034
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26569
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25334
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
4397
348.8 IPS |
|
|
Object Detection (HP)
|
100% |
4905
389.0 IPS |
|
|
Object Detection (Q)
|
91% |
4149
331.5 IPS |
|
|
Face Detection (SP)
|
100% |
11736
139.5 IPS |
|
|
Face Detection (HP)
|
100% |
14888
176.9 IPS |
|
|
Face Detection (Q)
|
100% |
10947
130.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18600
143.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
20525
158.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
17481
136.6 IPS |
|
|
Style Transfer (SP)
|
100% |
52022
66.9 IPS |
|
|
Style Transfer (HP)
|
100% |
60595
77.9 IPS |
|
|
Style Transfer (Q)
|
96% |
56766
73.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11023
407.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11881
438.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9502
350.9 IPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5266
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5149
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
862
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
994
17.2 IPS |
