Mac15,12
Geekbench AI Score
4167
Single Precision Score
7056
Half Precision Score
5703
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 08:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1590
295.6 IPS |
|
|
Image Classification (HP)
|
100% |
2958
550.2 IPS |
|
|
Image Classification (Q)
|
96% |
2082
388.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3015
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3368
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8727
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17376
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15066
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1846
146.5 IPS |
|
|
Object Detection (HP)
|
97% |
3277
260.9 IPS |
|
|
Object Detection (Q)
|
94% |
2351
187.4 IPS |
|
|
Face Detection (SP)
|
100% |
3557
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
6792
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3995
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7251
55.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13605
105.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9414
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22486
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34020
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28433
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5320
196.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6112
225.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4436
163.8 IPS |
|
|
Text Classification (SP)
|
100% |
2884
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5334
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5283
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3550
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5880
101.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5856
101.2 IPS |
