Mac15,13
Geekbench AI Score
4144
Single Precision Score
6985
Half Precision Score
5650
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richexperiences |
| Upload Date | December 14 2024 08:20 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1576
293.2 IPS |
|
|
Image Classification (HP)
|
100% |
2941
546.9 IPS |
|
|
Image Classification (Q)
|
96% |
2065
385.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3034
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3293
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8819
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17281
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15003
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1827
144.9 IPS |
|
|
Object Detection (HP)
|
97% |
3242
258.1 IPS |
|
|
Object Detection (Q)
|
94% |
2343
186.7 IPS |
|
|
Face Detection (SP)
|
100% |
3543
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6473
76.9 IPS |
|
|
Face Detection (Q)
|
100% |
3883
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7167
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13536
104.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9368
73.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22358
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33956
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28220
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5205
192.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6110
225.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4443
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5209
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5194
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3514
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5844
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5861
101.3 IPS |
