Mac15,13
Geekbench AI Score
6986
Single Precision Score
8710
Half Precision Score
7956
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rismay |
| Upload Date | November 18 2024 08:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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% |
4200
781.1 IPS |
|
|
Image Classification (HP)
|
100% |
4566
849.1 IPS |
|
|
Image Classification (Q)
|
97% |
3943
735.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4056
65.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5925
96.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6312
102.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
25055
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26549
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25287
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
2849
226.0 IPS |
|
|
Object Detection (HP)
|
100% |
4822
382.5 IPS |
|
|
Object Detection (Q)
|
91% |
4096
327.3 IPS |
|
|
Face Detection (SP)
|
100% |
11732
139.4 IPS |
|
|
Face Detection (HP)
|
100% |
15020
178.5 IPS |
|
|
Face Detection (Q)
|
100% |
10926
129.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18563
143.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
20414
157.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
17584
137.5 IPS |
|
|
Style Transfer (SP)
|
100% |
51842
66.6 IPS |
|
|
Style Transfer (HP)
|
100% |
59998
77.1 IPS |
|
|
Style Transfer (Q)
|
96% |
56830
73.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10892
402.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11659
430.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9428
348.1 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5111
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5143
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
98% |
745
12.9 IPS |
