MacBook Pro (16-inch, 2023)
Geekbench AI Score
12165
Single Precision Score
13079
Half Precision Score
11839
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 01:11 PM |
| Views | 2 |
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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5548
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
5488
1.02 KIPS |
|
|
Image Classification (Q)
|
96% |
5015
936.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9235
149.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9194
149.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8835
143.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
45004
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
48963
57.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
47291
55.4 IPS |
|
|
Object Detection (SP)
|
100% |
4955
393.1 IPS |
|
|
Object Detection (HP)
|
100% |
5002
396.8 IPS |
|
|
Object Detection (Q)
|
92% |
4689
374.3 IPS |
|
|
Face Detection (SP)
|
100% |
18866
224.2 IPS |
|
|
Face Detection (HP)
|
100% |
19659
233.6 IPS |
|
|
Face Detection (Q)
|
100% |
16699
198.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26143
201.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26977
207.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
24730
193.2 IPS |
|
|
Style Transfer (SP)
|
100% |
79536
102.2 IPS |
|
|
Style Transfer (HP)
|
100% |
86586
111.3 IPS |
|
|
Style Transfer (Q)
|
96% |
84496
109.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17577
649.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18612
687.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16062
593.1 IPS |
|
|
Text Classification (SP)
|
100% |
2487
3.32 KIPS |
|
|
Text Classification (HP)
|
99% |
4186
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4137
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3625
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3313
57.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2375
41.0 IPS |
