Mac15,13
Geekbench AI Score
3779
Single Precision Score
6471
Half Precision Score
5279
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | February 07 2025 03:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 3.64 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1493
277.7 IPS |
|
|
Image Classification (HP)
|
100% |
2629
488.9 IPS |
|
|
Image Classification (Q)
|
96% |
1879
350.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2731
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2979
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7307
8.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
15178
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13421
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1699
134.8 IPS |
|
|
Object Detection (HP)
|
97% |
3062
243.8 IPS |
|
|
Object Detection (Q)
|
94% |
2193
174.8 IPS |
|
|
Face Detection (SP)
|
100% |
3246
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
5948
70.7 IPS |
|
|
Face Detection (Q)
|
100% |
3590
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6416
49.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12855
99.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8880
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19906
25.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31178
40.1 IPS |
|
|
Style Transfer (Q)
|
96% |
26071
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4651
171.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5601
206.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4172
154.1 IPS |
|
|
Text Classification (SP)
|
100% |
2889
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5168
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5223
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3378
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5595
96.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5638
97.4 IPS |
