Mac15,13
Geekbench AI Score
2348
Single Precision Score
4542
Half Precision Score
3600
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rismay |
| Upload Date | January 07 2025 05:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 2.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.3 IPS |
|
|
Image Classification (Q)
|
96% |
249
46.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
103
1.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (Q)
|
99% |
396
6.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
8436
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
17093
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14075
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.6 IPS |
|
|
Object Detection (HP)
|
97% |
3109
247.5 IPS |
|
|
Object Detection (Q)
|
94% |
2059
164.1 IPS |
|
|
Face Detection (SP)
|
100% |
2716
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5809
69.0 IPS |
|
|
Face Detection (Q)
|
100% |
3833
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6901
53.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13397
103.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9028
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20396
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33883
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28063
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5011
185.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6128
226.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4442
164.0 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5230
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5261
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3329
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5353
92.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5643
97.5 IPS |
