MacBook Pro (14-inch, 2023)
Geekbench AI Score
4179
Single Precision Score
26855
Half Precision Score
29779
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | March 30 2025 10:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
14162
2.63 KIPS |
|
|
Image Classification (Q)
|
96% |
17418
3.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19402
314.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24674
400.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12788
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
106113
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104195
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1684
133.6 IPS |
|
|
Object Detection (HP)
|
99% |
15085
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16804
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3703
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
35088
416.9 IPS |
|
|
Face Detection (Q)
|
100% |
40515
481.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6422
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87784
676.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
109699
857.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24873
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203154
261.2 IPS |
|
|
Style Transfer (Q)
|
96% |
190468
245.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5147
190.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41800
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48792
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4037
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4004
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4420
76.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4201
72.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4407
76.2 IPS |
