MacBook Pro (14-inch, 2023)
Geekbench AI Score
4200
Single Precision Score
6780
Half Precision Score
5311
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | March 30 2025 10:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1398
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
2263
420.9 IPS |
|
|
Image Classification (Q)
|
96% |
1660
310.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1755
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2930
47.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12823
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
25509
29.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19490
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (HP)
|
97% |
2734
217.7 IPS |
|
|
Object Detection (Q)
|
94% |
1995
159.0 IPS |
|
|
Face Detection (SP)
|
100% |
3720
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
5892
70.0 IPS |
|
|
Face Detection (Q)
|
100% |
3437
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6515
50.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12387
95.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8297
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25205
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39481
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29896
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5105
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6996
258.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4455
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4036
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
3991
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4469
77.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6332
109.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6229
107.6 IPS |
