MacBook Pro (14-inch, 2023)
Geekbench AI Score
3263
Single Precision Score
24782
Half Precision Score
27166
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | zpjet |
| Upload Date | December 26 2024 08:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 2.38 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1064
197.9 IPS |
|
|
Image Classification (HP)
|
100% |
14075
2.62 KIPS |
|
|
Image Classification (Q)
|
96% |
15356
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1349
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19118
309.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
22233
360.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9859
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
106846
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104284
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1340
106.3 IPS |
|
|
Object Detection (HP)
|
99% |
14564
1.16 KIPS |
|
|
Object Detection (Q)
|
91% |
16719
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
2815
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
31717
376.9 IPS |
|
|
Face Detection (Q)
|
100% |
39845
473.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4930
38.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87197
671.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
107505
840.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19663
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
206181
265.0 IPS |
|
|
Style Transfer (Q)
|
96% |
194820
251.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4025
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41578
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48651
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
1806
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (Q)
|
93% |
2917
3.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3645
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2972
51.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3106
53.7 IPS |
