MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2682
Single Precision Score
2600
Half Precision Score
1585
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jaysuzi5 |
| Upload Date | January 13 2025 01:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.3.1 (Build 23D60) |
| 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 | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1313
244.2 IPS |
|
|
Image Classification (HP)
|
100% |
1210
225.0 IPS |
|
|
Image Classification (Q)
|
97% |
579
108.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
893
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
814
13.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
725
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8468
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
13519
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
7545
8.84 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.5 IPS |
|
|
Object Detection (HP)
|
98% |
1438
114.5 IPS |
|
|
Object Detection (Q)
|
94% |
628
50.1 IPS |
|
|
Face Detection (SP)
|
100% |
2545
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
2178
25.9 IPS |
|
|
Face Detection (Q)
|
100% |
852
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4702
36.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4924
38.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
2373
18.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12682
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15282
19.6 IPS |
|
|
Style Transfer (Q)
|
96% |
9466
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3826
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3323
122.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1370
50.6 IPS |
|
|
Text Classification (SP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
562
750.7 IPS |
|
|
Text Classification (Q)
|
93% |
808
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2411
41.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2384
41.2 IPS |
