MacBook Pro (14-inch, 2023)
Geekbench AI Score
4150
Single Precision Score
26987
Half Precision Score
30399
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | JJR_BIKES |
| Upload Date | April 05 2025 01:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.49 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.5 IPS |
|
|
Image Classification (HP)
|
100% |
14128
2.63 KIPS |
|
|
Image Classification (Q)
|
96% |
17036
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19555
317.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24340
394.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12659
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106044
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104317
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1694
134.3 IPS |
|
|
Object Detection (HP)
|
99% |
15180
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17492
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3525
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
35592
422.9 IPS |
|
|
Face Detection (Q)
|
100% |
45820
544.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6386
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87937
677.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
108246
845.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25123
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204009
262.3 IPS |
|
|
Style Transfer (Q)
|
96% |
189884
245.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5105
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41448
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49313
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3992
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3978
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4444
76.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4361
75.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4822
83.3 IPS |
