Mac15,12
Geekbench AI Score
6811
Single Precision Score
7935
Half Precision Score
7266
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | amadeus_ha |
| Upload Date | November 08 2024 11:39 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3966
737.5 IPS |
|
|
Image Classification (HP)
|
100% |
4195
780.1 IPS |
|
|
Image Classification (Q)
|
97% |
3613
674.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4042
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5224
84.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5278
85.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20374
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
21452
25.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
20493
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
4071
322.9 IPS |
|
|
Object Detection (HP)
|
100% |
4390
348.2 IPS |
|
|
Object Detection (Q)
|
91% |
3734
298.4 IPS |
|
|
Face Detection (SP)
|
100% |
10982
130.5 IPS |
|
|
Face Detection (HP)
|
100% |
13195
156.8 IPS |
|
|
Face Detection (Q)
|
100% |
9499
112.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16970
130.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18723
144.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
15838
123.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44561
57.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49881
64.1 IPS |
|
|
Style Transfer (Q)
|
96% |
46954
60.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9145
337.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9765
360.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7777
287.2 IPS |
|
|
Text Classification (SP)
|
100% |
2921
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5190
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5157
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (HP)
|
100% |
768
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
993
17.2 IPS |
