Mac15,12
Geekbench AI Score
7554
Single Precision Score
9131
Half Precision Score
8116
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | unixwizard |
| Upload Date | December 10 2024 02:10 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4365
811.8 IPS |
|
|
Image Classification (HP)
|
100% |
4746
882.7 IPS |
|
|
Image Classification (Q)
|
97% |
4058
757.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4420
71.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6160
99.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6485
105.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
25119
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26633
31.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
25370
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
4415
350.2 IPS |
|
|
Object Detection (HP)
|
100% |
4911
389.6 IPS |
|
|
Object Detection (Q)
|
91% |
4159
332.4 IPS |
|
|
Face Detection (SP)
|
100% |
11748
139.6 IPS |
|
|
Face Detection (HP)
|
100% |
15117
179.6 IPS |
|
|
Face Detection (Q)
|
100% |
10897
129.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18884
145.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
20772
160.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
17479
136.6 IPS |
|
|
Style Transfer (SP)
|
100% |
51823
66.6 IPS |
|
|
Style Transfer (HP)
|
100% |
60526
77.8 IPS |
|
|
Style Transfer (Q)
|
96% |
57025
73.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11403
421.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11929
440.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9706
358.4 IPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5225
6.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5167
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
890
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
820
14.2 IPS |
