Mac15,13
Geekbench AI Score
7467
Single Precision Score
8950
Half Precision Score
8094
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richexperiences |
| Upload Date | December 14 2024 08:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 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% |
4319
803.3 IPS |
|
|
Image Classification (HP)
|
100% |
4672
868.9 IPS |
|
|
Image Classification (Q)
|
97% |
4035
752.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4147
67.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5879
95.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6316
102.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24757
28.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26504
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
25225
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
4333
343.7 IPS |
|
|
Object Detection (HP)
|
100% |
4870
386.3 IPS |
|
|
Object Detection (Q)
|
91% |
4128
329.9 IPS |
|
|
Face Detection (SP)
|
100% |
11474
136.3 IPS |
|
|
Face Detection (HP)
|
100% |
14442
171.6 IPS |
|
|
Face Detection (Q)
|
100% |
10678
126.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18297
141.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
20460
157.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
17639
137.9 IPS |
|
|
Style Transfer (SP)
|
100% |
50465
64.9 IPS |
|
|
Style Transfer (HP)
|
100% |
60295
77.5 IPS |
|
|
Style Transfer (Q)
|
96% |
56241
72.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11236
414.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11780
435.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9457
349.2 IPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5172
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5216
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
871
15.0 IPS |
