MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2420
Single Precision Score
2541
Half Precision Score
1549
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | YKAR |
| Upload Date | March 20 2025 07:25 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.2 (Build 23C64) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1328
247.0 IPS |
|
|
Image Classification (HP)
|
100% |
1286
239.1 IPS |
|
|
Image Classification (Q)
|
97% |
545
101.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
762
12.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
683
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8460
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
13826
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
7777
9.12 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
98% |
1426
113.5 IPS |
|
|
Object Detection (Q)
|
94% |
675
53.8 IPS |
|
|
Face Detection (SP)
|
100% |
2393
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
2189
26.0 IPS |
|
|
Face Detection (Q)
|
100% |
857
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4627
35.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4639
35.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
2378
18.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13058
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14873
19.1 IPS |
|
|
Style Transfer (Q)
|
96% |
9586
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3705
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2660
98.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1460
53.9 IPS |
|
|
Text Classification (SP)
|
100% |
410
547.4 IPS |
|
|
Text Classification (HP)
|
100% |
629
839.4 IPS |
|
|
Text Classification (Q)
|
93% |
629
844.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2146
37.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2299
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2279
39.4 IPS |
