MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4187
Single Precision Score
6906
Half Precision Score
5624
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | March 19 2025 10:33 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1595
296.6 IPS |
|
|
Image Classification (HP)
|
100% |
2803
521.3 IPS |
|
|
Image Classification (Q)
|
96% |
1950
364.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2902
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3371
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8965
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17325
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14942
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (HP)
|
97% |
3218
256.2 IPS |
|
|
Object Detection (Q)
|
94% |
2310
184.1 IPS |
|
|
Face Detection (SP)
|
100% |
3768
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
6739
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
4063
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7238
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13377
103.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9193
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22348
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33335
42.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27511
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5298
195.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5711
210.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4325
159.7 IPS |
|
|
Text Classification (SP)
|
100% |
2851
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4868
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4848
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3552
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6519
112.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6484
112.0 IPS |
