MacBook Pro (16-inch, 2023)
Geekbench AI Score
12147
Single Precision Score
12909
Half Precision Score
12320
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | KokomiCat |
| Upload Date | October 31 2025 07:52 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.45 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5526
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5604
1.04 KIPS |
|
|
Image Classification (Q)
|
96% |
5075
947.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
9275
150.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9235
149.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8806
142.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
44914
52.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49014
57.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
47355
55.5 IPS |
|
|
Object Detection (SP)
|
100% |
5017
398.0 IPS |
|
|
Object Detection (HP)
|
100% |
5063
401.6 IPS |
|
|
Object Detection (Q)
|
92% |
4803
383.4 IPS |
|
|
Face Detection (SP)
|
100% |
18408
218.7 IPS |
|
|
Face Detection (HP)
|
100% |
19946
237.0 IPS |
|
|
Face Detection (Q)
|
100% |
17154
203.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25896
199.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
27114
208.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
24792
193.6 IPS |
|
|
Style Transfer (SP)
|
100% |
79594
102.3 IPS |
|
|
Style Transfer (HP)
|
100% |
86814
111.6 IPS |
|
|
Style Transfer (Q)
|
96% |
84661
109.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17663
652.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18968
700.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17018
628.4 IPS |
|
|
Text Classification (SP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4061
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4319
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3845
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2767
47.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2997
51.8 IPS |
