MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4129
Single Precision Score
6868
Half Precision Score
5575
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | brokenway |
| Upload Date | February 11 2025 01:31 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.78 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1518
282.2 IPS |
|
|
Image Classification (HP)
|
100% |
2609
485.3 IPS |
|
|
Image Classification (Q)
|
96% |
1864
348.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2829
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3201
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8675
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17141
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14896
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.3 IPS |
|
|
Object Detection (HP)
|
97% |
3230
257.1 IPS |
|
|
Object Detection (Q)
|
94% |
2313
184.4 IPS |
|
|
Face Detection (SP)
|
100% |
3741
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
6762
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
4002
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7247
55.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13393
103.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9227
72.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22459
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33523
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27581
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5299
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5853
216.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4336
160.1 IPS |
|
|
Text Classification (SP)
|
100% |
2825
3.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4975
6.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4915
6.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3573
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6466
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6508
112.5 IPS |
