Mac15,13
Geekbench AI Score
4112
Single Precision Score
6963
Half Precision Score
5623
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | October 20 2024 07:48 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
1573
292.5 IPS |
|
|
Image Classification (HP)
|
100% |
2964
551.2 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1890
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2961
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3277
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8444
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
17214
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14987
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1818
144.2 IPS |
|
|
Object Detection (HP)
|
97% |
3247
258.5 IPS |
|
|
Object Detection (Q)
|
94% |
2330
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
3479
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
6629
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3931
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7194
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13556
104.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
9330
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22278
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33918
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28223
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5230
193.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6033
222.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4379
161.7 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5155
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5166
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3506
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5763
99.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5794
100.1 IPS |
