Mac15,12
Geekbench AI Score
4176
Single Precision Score
7036
Half Precision Score
5675
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | youcune |
| Upload Date | November 10 2024 11:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1592
296.1 IPS |
|
|
Image Classification (HP)
|
100% |
2963
551.1 IPS |
|
|
Image Classification (Q)
|
96% |
2092
390.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3064
49.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3320
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8977
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17377
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15040
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1840
145.9 IPS |
|
|
Object Detection (HP)
|
97% |
3256
259.2 IPS |
|
|
Object Detection (Q)
|
94% |
2361
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3515
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
6760
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3945
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7224
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13569
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9373
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22571
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34146
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28434
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5256
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6035
222.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4374
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5255
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5191
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3533
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5832
100.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5885
101.7 IPS |
