Mac15,12
Geekbench AI Score
4160
Single Precision Score
32967
Half Precision Score
36964
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 01:18 AM |
| Views | 2 |
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% |
1599
297.3 IPS |
|
|
Image Classification (HP)
|
100% |
17338
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
20137
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20884
338.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25785
418.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8616
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
121694
142.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
121137
142.0 IPS |
|
|
Object Detection (SP)
|
100% |
1861
147.6 IPS |
|
|
Object Detection (HP)
|
100% |
18413
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
21232
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3499
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
38659
459.3 IPS |
|
|
Face Detection (Q)
|
100% |
49400
587.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7265
56.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98763
760.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
124069
970.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22474
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
228377
293.6 IPS |
|
|
Style Transfer (Q)
|
96% |
220098
284.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5276
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47376
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57011
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5203
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5151
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3541
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8697
149.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9003
155.6 IPS |
