MacBook Pro (14-inch, 2023)
Geekbench AI Score
4124
Single Precision Score
21197
Half Precision Score
23336
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 14 2024 02:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
13547
2.52 KIPS |
|
|
Image Classification (Q)
|
99% |
16192
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9223
149.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
9195
149.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12725
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
103007
120.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
98110
115.1 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.7 IPS |
|
|
Object Detection (HP)
|
99% |
14081
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
16638
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3624
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
23629
280.8 IPS |
|
|
Face Detection (Q)
|
100% |
34921
414.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6406
49.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
73954
569.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
82682
639.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24977
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
156099
200.7 IPS |
|
|
Style Transfer (Q)
|
100% |
156745
201.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5088
187.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41594
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
49050
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3964
5.29 KIPS |
|
|
Text Classification (Q)
|
93% |
3941
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4213
72.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2253
38.9 IPS |
