MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4177
Single Precision Score
6913
Half Precision Score
6019
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | mashimaro75 |
| Upload Date | October 22 2024 11:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B82) |
| 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% |
1599
297.3 IPS |
|
|
Image Classification (HP)
|
100% |
2844
528.9 IPS |
|
|
Image Classification (Q)
|
99% |
2805
523.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1867
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2812
45.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
2834
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8983
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17307
20.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14730
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1850
146.8 IPS |
|
|
Object Detection (HP)
|
97% |
3222
256.5 IPS |
|
|
Object Detection (Q)
|
94% |
2303
183.5 IPS |
|
|
Face Detection (SP)
|
100% |
3791
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
6812
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
4004
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7294
56.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13393
103.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
13418
103.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22396
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32850
42.2 IPS |
|
|
Style Transfer (Q)
|
100% |
32799
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5303
195.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5793
213.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4203
155.7 IPS |
|
|
Text Classification (SP)
|
100% |
2797
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4956
6.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4822
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3548
61.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6499
112.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6482
112.0 IPS |
