Mac15,13
Geekbench AI Score
2291
Single Precision Score
3884
Half Precision Score
3437
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | cluigi |
| Upload Date | August 16 2024 04:23 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 2.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
897
166.8 IPS |
|
|
Image Classification (HP)
|
100% |
1724
320.7 IPS |
|
|
Image Classification (Q)
|
99% |
1725
321.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1767
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4810
5.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
10164
11.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
7213
8.45 IPS |
|
|
Object Detection (SP)
|
100% |
1052
83.5 IPS |
|
|
Object Detection (HP)
|
97% |
1826
145.4 IPS |
|
|
Object Detection (Q)
|
94% |
1329
106.0 IPS |
|
|
Face Detection (SP)
|
100% |
1414
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
2688
31.9 IPS |
|
|
Face Detection (Q)
|
100% |
2172
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4078
31.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
7314
56.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
6883
53.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11928
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19662
25.3 IPS |
|
|
Style Transfer (Q)
|
100% |
20050
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3081
113.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3641
134.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2592
96.0 IPS |
|
|
Text Classification (SP)
|
100% |
1839
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
3143
4.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3121
4.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2054
35.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3225
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3247
56.1 IPS |
