MacBook Pro (14-inch, 2023) - CoreML/CPU - Run 1 MacBook Pro (14-inch, 2023)
Geekbench AI Score
4145
Single Precision Score
6745
Half Precision Score
5269
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Jef34 |
| Upload Date | January 16 2025 02:23 PM |
| Views | 12 |
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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
2272
422.6 IPS |
|
|
Image Classification (Q)
|
96% |
1664
310.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1703
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2521
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2909
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12788
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
24987
29.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
19935
23.4 IPS |
|
|
Object Detection (SP)
|
100% |
1677
133.0 IPS |
|
|
Object Detection (HP)
|
97% |
2721
216.6 IPS |
|
|
Object Detection (Q)
|
94% |
1976
157.5 IPS |
|
|
Face Detection (SP)
|
100% |
3671
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
5858
69.6 IPS |
|
|
Face Detection (Q)
|
100% |
3337
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6476
49.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12172
94.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8156
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24980
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38709
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28751
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5071
187.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7207
266.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4446
164.2 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4002
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4002
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4253
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6291
108.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6220
107.5 IPS |
