Mac15,12
Geekbench AI Score
7592
Single Precision Score
9020
Half Precision Score
8176
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | December 01 2024 10:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| 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% |
4330
805.2 IPS |
|
|
Image Classification (HP)
|
100% |
4762
885.6 IPS |
|
|
Image Classification (Q)
|
97% |
4040
753.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4345
70.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5978
96.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6347
102.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24950
29.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
26531
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25354
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
4414
350.2 IPS |
|
|
Object Detection (HP)
|
100% |
4903
388.9 IPS |
|
|
Object Detection (Q)
|
91% |
4156
332.1 IPS |
|
|
Face Detection (SP)
|
100% |
11670
138.7 IPS |
|
|
Face Detection (HP)
|
100% |
14933
177.4 IPS |
|
|
Face Detection (Q)
|
100% |
11005
130.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18699
144.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20563
158.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
17529
137.0 IPS |
|
|
Style Transfer (SP)
|
100% |
52095
67.0 IPS |
|
|
Style Transfer (HP)
|
100% |
60534
77.8 IPS |
|
|
Style Transfer (Q)
|
96% |
56872
73.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11021
406.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11907
439.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9494
350.6 IPS |
|
|
Text Classification (SP)
|
100% |
2900
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5214
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5125
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
926
16.0 IPS |
