MacBook Pro (14-inch, 2023)
Geekbench AI Score
4201
Single Precision Score
6760
Half Precision Score
5315
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ceekay |
| Upload Date | April 01 2025 05:34 AM |
| Views | 23 |
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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
2271
422.4 IPS |
|
|
Image Classification (Q)
|
96% |
1666
311.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1751
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2540
41.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2932
47.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12666
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
25177
29.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
19627
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1694
134.4 IPS |
|
|
Object Detection (HP)
|
97% |
2762
219.9 IPS |
|
|
Object Detection (Q)
|
94% |
2008
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
3745
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
5701
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3477
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6506
50.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12366
95.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8217
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25270
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38802
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29212
37.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5128
189.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7222
266.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4503
166.3 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4019
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4419
76.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6225
107.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6194
107.0 IPS |
