MacBook Pro (14-inch, 2023)
Geekbench AI Score
4195
Single Precision Score
6768
Half Precision Score
5298
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ddalledo |
| Upload Date | January 22 2025 12:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5055b) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
2271
422.2 IPS |
|
|
Image Classification (Q)
|
96% |
1658
309.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2676
43.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2966
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12886
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
24889
29.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
19452
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
1696
134.5 IPS |
|
|
Object Detection (HP)
|
97% |
2723
216.8 IPS |
|
|
Object Detection (Q)
|
94% |
2017
160.8 IPS |
|
|
Face Detection (SP)
|
100% |
3640
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
5989
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3427
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6534
50.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12295
95.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8235
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24832
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38257
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29758
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5098
188.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6972
257.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4454
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
2251
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3934
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3845
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4645
80.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6344
109.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6279
108.5 IPS |
