Mac15,13
Geekbench AI Score
7557
Single Precision Score
8829
Half Precision Score
8194
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | November 06 2024 09:16 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
4392
816.8 IPS |
|
|
Image Classification (HP)
|
100% |
4702
874.5 IPS |
|
|
Image Classification (Q)
|
97% |
4052
756.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4350
70.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5973
96.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6337
102.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
25137
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26607
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25381
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
4437
351.9 IPS |
|
|
Object Detection (HP)
|
100% |
4900
388.7 IPS |
|
|
Object Detection (Q)
|
91% |
4163
332.6 IPS |
|
|
Face Detection (SP)
|
100% |
11731
139.4 IPS |
|
|
Face Detection (HP)
|
100% |
15024
178.5 IPS |
|
|
Face Detection (Q)
|
100% |
10959
130.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18648
143.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20563
158.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
17482
136.7 IPS |
|
|
Style Transfer (SP)
|
100% |
51863
66.7 IPS |
|
|
Style Transfer (HP)
|
100% |
60500
77.8 IPS |
|
|
Style Transfer (Q)
|
96% |
56760
73.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11030
407.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11888
439.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9532
352.0 IPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5124
6.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5094
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (Q)
|
98% |
953
16.5 IPS |
