MacBook Pro (14-inch, 2023)
Geekbench AI Score
4097
Single Precision Score
6658
Half Precision Score
5294
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 09 2025 12:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
2234
415.5 IPS |
|
|
Image Classification (Q)
|
96% |
1657
309.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2446
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2843
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12610
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25985
30.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
19555
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
1681
133.3 IPS |
|
|
Object Detection (HP)
|
97% |
2645
210.6 IPS |
|
|
Object Detection (Q)
|
94% |
1977
157.6 IPS |
|
|
Face Detection (SP)
|
100% |
3575
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
5775
68.6 IPS |
|
|
Face Detection (Q)
|
100% |
3367
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6102
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10998
85.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7859
61.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24962
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37846
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30659
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4973
183.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6246
230.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4428
163.5 IPS |
|
|
Text Classification (SP)
|
100% |
2369
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4210
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4148
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4328
74.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7214
124.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6374
110.2 IPS |
