Mac15,12
Geekbench AI Score
4180
Single Precision Score
28816
Half Precision Score
32077
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 18 2024 01:15 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1592
296.0 IPS |
|
|
Image Classification (HP)
|
100% |
17791
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
20588
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16178
262.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
18991
307.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8621
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122612
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
121176
142.0 IPS |
|
|
Object Detection (SP)
|
100% |
1866
148.1 IPS |
|
|
Object Detection (HP)
|
100% |
18533
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20849
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3565
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
38352
455.7 IPS |
|
|
Face Detection (Q)
|
100% |
50145
595.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7246
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98697
760.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
125124
978.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22605
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
228898
294.3 IPS |
|
|
Style Transfer (Q)
|
96% |
222445
287.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5304
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47735
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58087
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5188
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5131
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3567
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2813
48.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2807
48.5 IPS |
