MacBook Pro (16-inch, 2023)
Geekbench AI Score
12047
Single Precision Score
13129
Half Precision Score
12107
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 08 2025 01:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
5501
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
5611
1.04 KIPS |
|
|
Image Classification (Q)
|
96% |
5121
956.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9321
151.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9310
150.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8772
142.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
44677
52.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49045
57.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
47396
55.5 IPS |
|
|
Object Detection (SP)
|
100% |
4984
395.4 IPS |
|
|
Object Detection (HP)
|
100% |
5049
400.5 IPS |
|
|
Object Detection (Q)
|
92% |
4655
371.6 IPS |
|
|
Face Detection (SP)
|
100% |
18225
216.6 IPS |
|
|
Face Detection (HP)
|
100% |
19762
234.8 IPS |
|
|
Face Detection (Q)
|
100% |
16758
199.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25903
199.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
27257
210.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
24698
192.9 IPS |
|
|
Style Transfer (SP)
|
100% |
79596
102.3 IPS |
|
|
Style Transfer (HP)
|
100% |
86996
111.8 IPS |
|
|
Style Transfer (Q)
|
96% |
84705
109.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17590
649.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18693
690.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16047
592.5 IPS |
|
|
Text Classification (SP)
|
100% |
2326
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4119
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4138
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3669
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3261
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2935
50.7 IPS |
