MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
8123
Single Precision Score
9637
Half Precision Score
6990
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | aarcot100 |
| Upload Date | August 19 2024 12:48 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4247
789.9 IPS |
|
|
Image Classification (HP)
|
100% |
4522
841.0 IPS |
|
|
Image Classification (Q)
|
99% |
4081
761.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4340
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5981
97.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
5859
95.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
25002
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26507
30.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
24618
28.8 IPS |
|
|
Object Detection (SP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
4845
384.3 IPS |
|
|
Object Detection (Q)
|
91% |
3784
302.4 IPS |
|
|
Face Detection (SP)
|
100% |
11771
139.9 IPS |
|
|
Face Detection (HP)
|
100% |
14990
178.1 IPS |
|
|
Face Detection (Q)
|
100% |
10617
126.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18678
143.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20451
157.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
2976
23.0 IPS |
|
|
Style Transfer (SP)
|
100% |
51399
66.1 IPS |
|
|
Style Transfer (HP)
|
100% |
60447
77.7 IPS |
|
|
Style Transfer (Q)
|
100% |
59960
77.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10890
402.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11709
432.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
8866
328.5 IPS |
|
|
Text Classification (SP)
|
100% |
2836
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4906
6.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4975
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1769
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1870
32.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1498
25.9 IPS |
