MacBook Pro (14-inch, 2023)
Geekbench AI Score
4112
Single Precision Score
27043
Half Precision Score
30428
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 26 2025 11:15 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
14599
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
17998
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20098
325.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24748
401.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12761
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
105959
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104509
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1668
132.3 IPS |
|
|
Object Detection (HP)
|
99% |
15642
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17130
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3556
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
33864
402.4 IPS |
|
|
Face Detection (Q)
|
100% |
45771
543.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6186
47.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
88066
678.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
108670
849.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25099
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204211
262.5 IPS |
|
|
Style Transfer (Q)
|
96% |
193620
249.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5027
185.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42679
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49152
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4027
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4094
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4389
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4111
70.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4404
76.1 IPS |
