MacBook Pro (14-inch, 2023)
Geekbench AI Score
9543
Single Precision Score
9692
Half Precision Score
3129
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | aeonsim |
| Upload Date | September 08 2024 09:33 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5223
971.4 IPS |
|
|
Image Classification (HP)
|
100% |
5424
1.01 KIPS |
|
|
Image Classification (Q)
|
97% |
4017
749.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
8027
130.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8115
131.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7721
125.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
44740
52.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
47056
54.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
42313
49.5 IPS |
|
|
Object Detection (SP)
|
100% |
4965
393.8 IPS |
|
|
Object Detection (HP)
|
100% |
5019
398.1 IPS |
|
|
Object Detection (Q)
|
92% |
3982
317.9 IPS |
|
|
Face Detection (SP)
|
100% |
16919
201.0 IPS |
|
|
Face Detection (HP)
|
100% |
18373
218.3 IPS |
|
|
Face Detection (Q)
|
100% |
12458
148.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
25838
199.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26752
206.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
165.3 IPS |
|
|
Style Transfer (SP)
|
100% |
79421
102.1 IPS |
|
|
Style Transfer (HP)
|
100% |
85547
110.0 IPS |
|
|
Style Transfer (Q)
|
96% |
79481
102.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18023
665.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18870
696.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14283
527.4 IPS |
|
|
Text Classification (SP)
|
100% |
904
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
639
853.0 IPS |
|
|
Text Classification (Q)
|
93% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1592
27.5 IPS |
