MacBook Pro (16-inch, 2023)
Geekbench AI Score
11919
Single Precision Score
13175
Half Precision Score
12111
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | June 27 2025 04:03 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5491
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
5647
1.05 KIPS |
|
|
Image Classification (Q)
|
96% |
5208
972.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
9288
150.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9302
150.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8967
145.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
45114
52.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
49352
57.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
47404
55.5 IPS |
|
|
Object Detection (SP)
|
100% |
5155
408.9 IPS |
|
|
Object Detection (HP)
|
100% |
5227
414.6 IPS |
|
|
Object Detection (Q)
|
92% |
4808
383.8 IPS |
|
|
Face Detection (SP)
|
100% |
18691
222.1 IPS |
|
|
Face Detection (HP)
|
100% |
19582
232.7 IPS |
|
|
Face Detection (Q)
|
100% |
16686
198.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
26191
201.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
27907
215.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
25597
199.9 IPS |
|
|
Style Transfer (SP)
|
100% |
79913
102.7 IPS |
|
|
Style Transfer (HP)
|
100% |
87249
112.2 IPS |
|
|
Style Transfer (Q)
|
96% |
85257
110.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17863
659.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18854
696.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17014
628.2 IPS |
|
|
Text Classification (SP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4135
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4087
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2972
51.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3129
53.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2520
43.6 IPS |
