MacBook Pro (14-inch, 2023)
Geekbench AI Score
4118
Single Precision Score
26598
Half Precision Score
29616
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | December 03 2024 12:19 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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 | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1379
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
14274
2.65 KIPS |
|
|
Image Classification (Q)
|
96% |
16861
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19778
320.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24572
398.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12694
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106088
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
103560
121.4 IPS |
|
|
Object Detection (SP)
|
100% |
1663
131.9 IPS |
|
|
Object Detection (HP)
|
99% |
15274
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16828
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3672
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
35025
416.2 IPS |
|
|
Face Detection (Q)
|
100% |
45326
538.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6431
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87329
672.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
108772
850.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24658
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
203556
261.7 IPS |
|
|
Style Transfer (Q)
|
96% |
189979
245.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5081
187.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41301
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48845
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2244
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3841
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3807
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4271
73.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3923
67.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4129
71.3 IPS |
