MacBook Pro (14-inch, 2023) - CoreML/CPU - Run 2 MacBook Pro (14-inch, 2023)
Geekbench AI Score
4223
Single Precision Score
6762
Half Precision Score
5341
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Jef34 |
| Upload Date | January 16 2025 02:33 PM |
| Views | 14 |
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% |
1409
262.1 IPS |
|
|
Image Classification (HP)
|
100% |
2288
425.5 IPS |
|
|
Image Classification (Q)
|
96% |
1671
312.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2622
42.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2940
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12830
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
24650
28.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19429
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
1695
134.4 IPS |
|
|
Object Detection (HP)
|
97% |
2753
219.2 IPS |
|
|
Object Detection (Q)
|
94% |
2014
160.5 IPS |
|
|
Face Detection (SP)
|
100% |
3740
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
5895
70.0 IPS |
|
|
Face Detection (Q)
|
100% |
3449
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6424
49.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11234
86.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8240
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24991
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39251
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29469
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5173
191.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7251
267.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4519
166.9 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4045
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4018
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4643
80.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6442
111.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6468
111.8 IPS |
