Mac15,13
Geekbench AI Score
4099
Single Precision Score
6931
Half Precision Score
5617
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rismay |
| Upload Date | November 17 2024 09:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1567
291.4 IPS |
|
|
Image Classification (HP)
|
100% |
2914
541.9 IPS |
|
|
Image Classification (Q)
|
96% |
2050
382.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1895
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2958
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3278
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8780
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17281
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14983
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
97% |
3226
256.9 IPS |
|
|
Object Detection (Q)
|
94% |
2333
186.0 IPS |
|
|
Face Detection (SP)
|
100% |
3436
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
6569
78.0 IPS |
|
|
Face Detection (Q)
|
100% |
3871
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7142
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13543
104.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9351
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22250
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33908
43.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28155
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5195
191.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6083
224.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4424
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
2873
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5074
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5038
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3480
59.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5726
98.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5869
101.4 IPS |
