MacBook Pro (14-inch, 2023)
Geekbench AI Score
9762
Single Precision Score
10690
Half Precision Score
9872
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | devy |
| Upload Date | October 22 2025 05:07 AM |
| Views | 4 |
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 (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 2.38 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5163
960.1 IPS |
|
|
Image Classification (HP)
|
100% |
5058
940.7 IPS |
|
|
Image Classification (Q)
|
96% |
4635
865.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8247
133.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7827
126.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7619
123.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
36820
43.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
40621
47.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
39084
45.8 IPS |
|
|
Object Detection (SP)
|
100% |
4674
370.7 IPS |
|
|
Object Detection (HP)
|
100% |
4700
372.8 IPS |
|
|
Object Detection (Q)
|
92% |
4394
350.7 IPS |
|
|
Face Detection (SP)
|
100% |
15781
187.5 IPS |
|
|
Face Detection (HP)
|
100% |
17724
210.6 IPS |
|
|
Face Detection (Q)
|
100% |
14592
173.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
24156
186.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
25626
197.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
23268
181.7 IPS |
|
|
Style Transfer (SP)
|
100% |
68282
87.8 IPS |
|
|
Style Transfer (HP)
|
100% |
75363
96.9 IPS |
|
|
Style Transfer (Q)
|
96% |
73871
95.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13037
481.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14091
520.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11990
442.7 IPS |
|
|
Text Classification (SP)
|
100% |
1885
2.52 KIPS |
|
|
Text Classification (HP)
|
99% |
3007
4.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2974
3.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1677
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1778
30.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1621
28.0 IPS |
