MacBook Pro (16-inch, 2023)
Geekbench AI Score
4042
Single Precision Score
6803
Half Precision Score
5430
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Zodios |
| Upload Date | February 01 2026 06:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1370
254.7 IPS |
|
|
Image Classification (HP)
|
100% |
2251
418.5 IPS |
|
|
Image Classification (Q)
|
96% |
1678
313.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2486
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2890
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11958
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
26273
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
20264
23.8 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.4 IPS |
|
|
Object Detection (HP)
|
97% |
2663
212.0 IPS |
|
|
Object Detection (Q)
|
94% |
1930
153.9 IPS |
|
|
Face Detection (SP)
|
100% |
3522
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
5885
69.9 IPS |
|
|
Face Detection (Q)
|
100% |
3376
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5962
45.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11355
87.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7948
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25221
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40471
52.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31631
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4910
181.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6502
240.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4465
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
4150
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4091
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4197
72.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7441
128.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7591
131.2 IPS |
