MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2423
Single Precision Score
3414
Half Precision Score
2910
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 28 2024 02:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 2.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
993
184.6 IPS |
|
|
Image Classification (HP)
|
100% |
1317
244.8 IPS |
|
|
Image Classification (Q)
|
96% |
979
182.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
982
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
892
14.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1255
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5185
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
10303
12.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
8894
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1127
89.4 IPS |
|
|
Object Detection (HP)
|
97% |
1547
123.2 IPS |
|
|
Object Detection (Q)
|
94% |
1178
93.9 IPS |
|
|
Face Detection (SP)
|
100% |
1960
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
3032
36.0 IPS |
|
|
Face Detection (Q)
|
100% |
1962
23.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4054
31.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
5867
45.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4446
34.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12946
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19233
24.7 IPS |
|
|
Style Transfer (Q)
|
96% |
16055
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3128
115.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2701
99.7 IPS |
|
|
Text Classification (SP)
|
100% |
1833
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2893
3.86 KIPS |
|
|
Text Classification (Q)
|
93% |
2876
3.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2076
35.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3098
53.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3118
53.9 IPS |
