MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4153
Single Precision Score
6977
Half Precision Score
6117
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | aarcot100 |
| Upload Date | August 19 2024 12:43 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 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% |
1589
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
2973
552.9 IPS |
|
|
Image Classification (Q)
|
99% |
2976
555.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3042
49.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3040
49.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8909
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17305
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14911
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1857
147.3 IPS |
|
|
Object Detection (HP)
|
97% |
3308
263.4 IPS |
|
|
Object Detection (Q)
|
94% |
2407
191.8 IPS |
|
|
Face Detection (SP)
|
100% |
3517
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
6712
79.8 IPS |
|
|
Face Detection (Q)
|
100% |
3956
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7236
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13550
104.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
13581
105.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22523
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34101
43.8 IPS |
|
|
Style Transfer (Q)
|
100% |
34182
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5237
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5914
218.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4298
159.2 IPS |
|
|
Text Classification (SP)
|
100% |
2836
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
5019
6.70 KIPS |
|
|
Text Classification (Q)
|
93% |
4969
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3507
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5737
99.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5764
99.6 IPS |
