MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4159
Single Precision Score
6859
Half Precision Score
5589
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 20 2024 05:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1571
292.1 IPS |
|
|
Image Classification (HP)
|
100% |
2770
515.2 IPS |
|
|
Image Classification (Q)
|
96% |
1938
361.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2887
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3357
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8972
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17252
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14921
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1839
145.9 IPS |
|
|
Object Detection (HP)
|
97% |
3214
255.8 IPS |
|
|
Object Detection (Q)
|
94% |
2299
183.2 IPS |
|
|
Face Detection (SP)
|
100% |
3764
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
6741
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
4015
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7204
55.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
13350
103.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9198
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22460
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33346
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27554
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5300
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5701
210.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4319
159.5 IPS |
|
|
Text Classification (SP)
|
100% |
2740
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4749
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4751
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6399
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6391
110.4 IPS |
