MacBook Pro (14-inch, 2023) - CoreML/CPU - Run 3 MacBook Pro (14-inch, 2023)
Geekbench AI Score
4144
Single Precision Score
6751
Half Precision Score
5257
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Jef34 |
| Upload Date | January 16 2025 02:42 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
2266
421.3 IPS |
|
|
Image Classification (Q)
|
96% |
1662
310.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2911
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12633
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25743
30.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
18640
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
1675
132.8 IPS |
|
|
Object Detection (HP)
|
97% |
2717
216.3 IPS |
|
|
Object Detection (Q)
|
94% |
1988
158.5 IPS |
|
|
Face Detection (SP)
|
100% |
3585
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
5800
68.9 IPS |
|
|
Face Detection (Q)
|
100% |
3417
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6411
49.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12234
94.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8151
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24757
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38511
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28698
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5116
188.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7175
264.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4464
164.8 IPS |
|
|
Text Classification (SP)
|
100% |
2340
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4070
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4037
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4383
75.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6152
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6248
108.0 IPS |
