Mac15,13
Geekbench AI Score
7639
Single Precision Score
9000
Half Precision Score
8182
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Mojoxer |
| Upload Date | November 17 2024 03:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| 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% |
4308
801.2 IPS |
|
|
Image Classification (HP)
|
100% |
4671
868.6 IPS |
|
|
Image Classification (Q)
|
97% |
4027
751.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4338
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5977
96.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6324
102.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
25036
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26588
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25313
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
4421
350.7 IPS |
|
|
Object Detection (HP)
|
100% |
4896
388.3 IPS |
|
|
Object Detection (Q)
|
91% |
4146
331.3 IPS |
|
|
Face Detection (SP)
|
100% |
11772
139.9 IPS |
|
|
Face Detection (HP)
|
100% |
15096
179.4 IPS |
|
|
Face Detection (Q)
|
100% |
10842
128.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18556
143.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
20522
158.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
17442
136.3 IPS |
|
|
Style Transfer (SP)
|
100% |
51923
66.7 IPS |
|
|
Style Transfer (HP)
|
100% |
60381
77.6 IPS |
|
|
Style Transfer (Q)
|
96% |
56712
73.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11055
408.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11867
438.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9511
351.2 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5192
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5166
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
833
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
955
16.5 IPS |
