Mac15,13
Geekbench AI Score
6817
Single Precision Score
7398
Half Precision Score
6385
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | chaseps |
| Upload Date | September 04 2024 09:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.99 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4079
758.5 IPS |
|
|
Image Classification (HP)
|
100% |
4502
837.1 IPS |
|
|
Image Classification (Q)
|
99% |
3851
718.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4042
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5797
94.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
5660
91.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24706
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26532
31.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
24513
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
4116
326.5 IPS |
|
|
Object Detection (HP)
|
100% |
4540
360.1 IPS |
|
|
Object Detection (Q)
|
92% |
3569
284.9 IPS |
|
|
Face Detection (SP)
|
100% |
10312
122.5 IPS |
|
|
Face Detection (HP)
|
100% |
13268
157.7 IPS |
|
|
Face Detection (Q)
|
100% |
9059
107.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17683
136.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20198
155.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
20103
155.4 IPS |
|
|
Style Transfer (SP)
|
100% |
50512
64.9 IPS |
|
|
Style Transfer (HP)
|
100% |
59559
76.6 IPS |
|
|
Style Transfer (Q)
|
100% |
58972
75.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10746
396.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11696
431.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9154
339.1 IPS |
|
|
Text Classification (SP)
|
100% |
1392
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (Q)
|
93% |
673
903.2 IPS |
|
|
Machine Translation (SP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
894
15.4 IPS |
