MacBook Pro (14-inch, 2023)
Geekbench AI Score
4161
Single Precision Score
6761
Half Precision Score
5270
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | visualvictor |
| Upload Date | March 25 2025 01:38 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
2266
421.5 IPS |
|
|
Image Classification (Q)
|
96% |
1651
308.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2508
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2919
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12637
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25390
29.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
19217
22.5 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.7 IPS |
|
|
Object Detection (HP)
|
97% |
2749
218.9 IPS |
|
|
Object Detection (Q)
|
94% |
1989
158.5 IPS |
|
|
Face Detection (SP)
|
100% |
3710
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
5987
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3351
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6326
48.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12351
95.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8219
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24967
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38807
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29344
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5093
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6957
256.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4476
165.3 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4048
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4021
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4414
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6231
107.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6171
106.6 IPS |
