Mac15,13
Geekbench AI Score
2453
Single Precision Score
14002
Half Precision Score
15859
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | wpattison |
| Upload Date | September 11 2024 02:50 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1352
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
7727
1.44 KIPS |
|
|
Image Classification (Q)
|
97% |
7902
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
805
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6627
107.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12682
205.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8438
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
103369
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105039
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1483
117.6 IPS |
|
|
Object Detection (HP)
|
100% |
10021
794.8 IPS |
|
|
Object Detection (Q)
|
93% |
10797
861.5 IPS |
|
|
Face Detection (SP)
|
100% |
2199
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
13506
160.5 IPS |
|
|
Face Detection (Q)
|
100% |
15954
189.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4210
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
58805
453.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
72025
563.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12643
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
155510
199.9 IPS |
|
|
Style Transfer (Q)
|
96% |
142347
183.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3689
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21448
792.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26445
976.5 IPS |
|
|
Text Classification (SP)
|
100% |
642
856.8 IPS |
|
|
Text Classification (HP)
|
100% |
735
981.7 IPS |
|
|
Text Classification (Q)
|
93% |
734
984.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2090
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2806
48.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2790
48.2 IPS |
