MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4180
Single Precision Score
6920
Half Precision Score
5638
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 08 2025 02:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1589
295.6 IPS |
|
|
Image Classification (HP)
|
100% |
2799
520.5 IPS |
|
|
Image Classification (Q)
|
96% |
1954
364.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1888
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2937
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3368
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8949
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17321
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14943
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
97% |
3226
256.8 IPS |
|
|
Object Detection (Q)
|
94% |
2313
184.4 IPS |
|
|
Face Detection (SP)
|
100% |
3756
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
6780
80.6 IPS |
|
|
Face Detection (Q)
|
100% |
4053
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7248
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13385
103.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9194
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22369
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33374
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27531
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5290
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5760
212.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4325
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
2782
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4826
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4936
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3671
63.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6513
112.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6516
112.6 IPS |
