MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4161
Single Precision Score
6872
Half Precision Score
5567
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | buggshash |
| Upload Date | December 12 2024 06:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 3.93 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1580
293.8 IPS |
|
|
Image Classification (HP)
|
100% |
2794
519.7 IPS |
|
|
Image Classification (Q)
|
96% |
1945
363.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2904
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3299
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8955
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17225
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14863
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (HP)
|
97% |
3203
255.0 IPS |
|
|
Object Detection (Q)
|
94% |
2277
181.5 IPS |
|
|
Face Detection (SP)
|
100% |
3757
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
6688
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
3981
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7241
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13351
103.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9175
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22199
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32799
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27444
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5209
192.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5753
212.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4244
156.7 IPS |
|
|
Text Classification (SP)
|
100% |
2799
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4871
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4858
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3525
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6402
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6374
110.1 IPS |
