MacBook Pro (16-inch, 2023)
Geekbench AI Score
4014
Single Precision Score
6947
Half Precision Score
5474
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | KokomiCat |
| Upload Date | October 31 2025 07:54 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1334
248.2 IPS |
|
|
Image Classification (HP)
|
100% |
2271
422.3 IPS |
|
|
Image Classification (Q)
|
96% |
1658
309.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1679
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2552
41.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2901
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11824
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26479
30.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
20076
23.5 IPS |
|
|
Object Detection (SP)
|
100% |
1595
126.5 IPS |
|
|
Object Detection (HP)
|
97% |
2717
216.3 IPS |
|
|
Object Detection (Q)
|
94% |
1962
156.4 IPS |
|
|
Face Detection (SP)
|
100% |
3359
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
5873
69.8 IPS |
|
|
Face Detection (Q)
|
100% |
3358
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5926
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11381
88.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8020
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24339
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
40606
52.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31732
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4899
180.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6820
251.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4579
169.1 IPS |
|
|
Text Classification (SP)
|
100% |
2521
3.37 KIPS |
|
|
Text Classification (HP)
|
99% |
4325
5.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4329
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4298
74.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7852
135.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7530
130.1 IPS |
