MacBook Pro (14-inch, 2023)
Geekbench AI Score
10239
Single Precision Score
11033
Half Precision Score
10034
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 05:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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 | 3.45 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5177
962.9 IPS |
|
|
Image Classification (HP)
|
100% |
5362
997.2 IPS |
|
|
Image Classification (Q)
|
97% |
4555
850.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
8006
129.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8077
130.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8190
132.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
45027
52.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
47588
55.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
44196
51.8 IPS |
|
|
Object Detection (SP)
|
100% |
4308
341.7 IPS |
|
|
Object Detection (HP)
|
100% |
4084
324.0 IPS |
|
|
Object Detection (Q)
|
91% |
4299
343.5 IPS |
|
|
Face Detection (SP)
|
100% |
17995
213.8 IPS |
|
|
Face Detection (HP)
|
100% |
19239
228.6 IPS |
|
|
Face Detection (Q)
|
100% |
13077
155.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
25724
198.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
26623
205.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
22441
175.4 IPS |
|
|
Style Transfer (SP)
|
100% |
79759
102.5 IPS |
|
|
Style Transfer (HP)
|
100% |
85518
109.9 IPS |
|
|
Style Transfer (Q)
|
96% |
79668
102.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17070
630.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17930
662.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14798
546.4 IPS |
|
|
Text Classification (SP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3791
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3763
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1122
19.4 IPS |
