Mac15,12
Geekbench AI Score
4124
Single Precision Score
32861
Half Precision Score
36884
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 07:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1565
291.1 IPS |
|
|
Image Classification (HP)
|
100% |
17127
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
20063
3.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20996
340.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24752
401.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8559
9.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
122153
142.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
121100
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.6 IPS |
|
|
Object Detection (HP)
|
100% |
18458
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
21101
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3507
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
38856
461.7 IPS |
|
|
Face Detection (Q)
|
100% |
50351
598.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7169
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98757
760.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
124142
970.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22479
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
228428
293.6 IPS |
|
|
Style Transfer (Q)
|
96% |
221957
286.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5194
191.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46236
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56840
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2953
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5196
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5213
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3513
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8600
148.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8935
154.4 IPS |
