Mac15,12
Geekbench AI Score
4142
Single Precision Score
7020
Half Precision Score
5685
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 05 2025 08:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1588
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
2962
550.8 IPS |
|
|
Image Classification (Q)
|
96% |
2088
390.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3038
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3362
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8598
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17306
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15022
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1850
146.8 IPS |
|
|
Object Detection (HP)
|
97% |
3283
261.4 IPS |
|
|
Object Detection (Q)
|
94% |
2376
189.4 IPS |
|
|
Face Detection (SP)
|
100% |
3454
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
6648
79.0 IPS |
|
|
Face Detection (Q)
|
100% |
3944
46.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7226
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13622
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9372
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22436
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34087
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28359
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5264
194.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5988
221.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4356
160.8 IPS |
|
|
Text Classification (SP)
|
100% |
2905
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5255
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5304
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3540
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5855
101.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5818
100.5 IPS |
