MacBook Pro (14-inch, 2023)
Geekbench AI Score
3089
Single Precision Score
5128
Half Precision Score
4023
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | devy |
| Upload Date | October 22 2025 05:04 AM |
| Views | 3 |
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 (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% |
994
184.9 IPS |
|
|
Image Classification (HP)
|
100% |
1709
317.8 IPS |
|
|
Image Classification (Q)
|
96% |
1192
222.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1864
30.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2070
33.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9129
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
20079
23.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15492
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
1259
99.8 IPS |
|
|
Object Detection (HP)
|
97% |
2025
161.2 IPS |
|
|
Object Detection (Q)
|
94% |
1453
115.8 IPS |
|
|
Face Detection (SP)
|
100% |
2630
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
4489
53.3 IPS |
|
|
Face Detection (Q)
|
100% |
2522
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4526
34.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8823
68.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6007
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19128
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29954
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23612
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3833
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5067
187.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3498
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
1878
2.51 KIPS |
|
|
Text Classification (HP)
|
99% |
3085
4.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3019
4.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5237
90.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5299
91.6 IPS |
